Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team & Role: This role is part of our Experience Team (UX/UI). ServiceNow is transforming how enterprise knowledge is created, delivered, and consumed. We’re moving from a world where large teams of writers produce content manually to one where AI-powered, agentic systems generate, classify, and deliver the right knowledge to the right person at the right moment — across millions of users worldwide. This role sits at the center of that transformation. You will design and build the engineering infrastructure that makes agentic content creation possible at scale: automation pipelines, AI tooling, LLM integrations, and the systems that connect ServiceNow’s knowledge platforms into a unified, intelligent content engine. What you get to do in this role:
Sep 05, 2026
Full time
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team & Role: This role is part of our Experience Team (UX/UI). ServiceNow is transforming how enterprise knowledge is created, delivered, and consumed. We’re moving from a world where large teams of writers produce content manually to one where AI-powered, agentic systems generate, classify, and deliver the right knowledge to the right person at the right moment — across millions of users worldwide. This role sits at the center of that transformation. You will design and build the engineering infrastructure that makes agentic content creation possible at scale: automation pipelines, AI tooling, LLM integrations, and the systems that connect ServiceNow’s knowledge platforms into a unified, intelligent content engine. What you get to do in this role:
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team & Role: This role is part of our Experience Team (UX/UI). ServiceNow is transforming how enterprise knowledge is created, delivered, and consumed. We’re moving from a world where large teams of writers produce content manually to one where AI-powered, agentic systems generate, classify, and deliver the right knowledge to the right person at the right moment — across millions of users worldwide. This role sits at the center of that transformation. You will design and build the engineering infrastructure that makes agentic content creation possible at scale: automation pipelines, AI tooling, LLM integrations, and the systems that connect ServiceNow’s knowledge platforms into a unified, intelligent content engine. What you get to do in this role:
Sep 05, 2026
Full time
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team & Role: This role is part of our Experience Team (UX/UI). ServiceNow is transforming how enterprise knowledge is created, delivered, and consumed. We’re moving from a world where large teams of writers produce content manually to one where AI-powered, agentic systems generate, classify, and deliver the right knowledge to the right person at the right moment — across millions of users worldwide. This role sits at the center of that transformation. You will design and build the engineering infrastructure that makes agentic content creation possible at scale: automation pipelines, AI tooling, LLM integrations, and the systems that connect ServiceNow’s knowledge platforms into a unified, intelligent content engine. What you get to do in this role:
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Team: The Security and Risk Engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, world-class AI-powered security solutions to reduce risk and protect the company and our customers. We value AI first solutions, clean architecture, intuitive user experiences, and a culture of continuous improvement. Security is a key strategic growth area for ServiceNow, and every engineer here plays a key role in driving innovation and shaping the quality and reliability of our security and risk products. What you get to do in this role Define the technical vision and architecture for AI-native security solutions , leveraging frontier models, agentic AI, reasoning, retrieval, knowledge syst
Sep 04, 2026
Full time
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Team: The Security and Risk Engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, world-class AI-powered security solutions to reduce risk and protect the company and our customers. We value AI first solutions, clean architecture, intuitive user experiences, and a culture of continuous improvement. Security is a key strategic growth area for ServiceNow, and every engineer here plays a key role in driving innovation and shaping the quality and reliability of our security and risk products. What you get to do in this role Define the technical vision and architecture for AI-native security solutions , leveraging frontier models, agentic AI, reasoning, retrieval, knowledge syst
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Team: The Security and Risk Engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, world-class AI-powered security solutions to reduce risk and protect the company and our customers. We value AI first solutions, clean architecture, intuitive user experiences, and a culture of continuous improvement. Security is a key strategic growth area for ServiceNow, and every engineer here plays a key role in driving innovation and shaping the quality and reliability of our security and risk products. What you get to do in this role Define the technical vision and architecture for AI-native security solutions , leveraging frontier models, agentic AI, reasoning, retrieval, knowledge syst
Sep 04, 2026
Full time
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Team: The Security and Risk Engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, world-class AI-powered security solutions to reduce risk and protect the company and our customers. We value AI first solutions, clean architecture, intuitive user experiences, and a culture of continuous improvement. Security is a key strategic growth area for ServiceNow, and every engineer here plays a key role in driving innovation and shaping the quality and reliability of our security and risk products. What you get to do in this role Define the technical vision and architecture for AI-native security solutions , leveraging frontier models, agentic AI, reasoning, retrieval, knowledge syst
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match. As a Senior Software Engineer, you will be at the forefront of Physical AI , building advanced autonomy algorithms to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest techniques that enable better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. What the Candidate Will Do Algorithm Development: Lead the development of autonomy algorithms that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake. Systems Architecture Design: Architect onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack. Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions that can stand
Sep 04, 2026
Full time
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match. As a Senior Software Engineer, you will be at the forefront of Physical AI , building advanced autonomy algorithms to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest techniques that enable better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. What the Candidate Will Do Algorithm Development: Lead the development of autonomy algorithms that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake. Systems Architecture Design: Architect onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack. Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions that can stand
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match. As a Senior ML Engineer, you will be at the forefront of Physical AI , building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. What the Candidate Will Do Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake. Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies. Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can
Sep 04, 2026
Full time
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match. As a Senior ML Engineer, you will be at the forefront of Physical AI , building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. What the Candidate Will Do Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake. Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies. Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can
About the Role At Uber, we don’t just use tools; we build the engines that power global movement. As an Application Developer for Work Management, you are at the heart of our productivity, designing and building the Atlassian-based systems that keep thousands of Uber employees aligned and moving fast. This isn't just about managing Jira tickets—it's about engineering intelligent, integrated ecosystems. The pace here is intense, the systems are massive, and the stakes are high. You’ll navigate complex technical debt and architect solutions for problems that don’t have a playbook. We need a systems-level thinker with the grit to dive into enterprise-scale configurations and the curiosity to leverage GenAI and Rovo Agents to redefine what’s possible. If you stay calm under pressure and care deeply about building tools that actually work at scale, this is where you’ll thrive. What You’ll Do Build and Scale: Design and optimize Jira and Confluence environments that support how our teams move in the real world—where performance and reliability are non-negotiable. Develop Custom Solutions: Build secure, scalable cloud applications directly within the Atlassian ecosystem, where your hands-on experience with Atlassian Forge app development and the Forge platform will be a distinct advantage. Navigate Complexity: Solve messy, high-impact problems across the Atlassian toolchain (Structure, JEMH, EazyBI, ScriptRunner) when the playbook doesn't exist. Automate th
Sep 04, 2026
Full time
About the Role At Uber, we don’t just use tools; we build the engines that power global movement. As an Application Developer for Work Management, you are at the heart of our productivity, designing and building the Atlassian-based systems that keep thousands of Uber employees aligned and moving fast. This isn't just about managing Jira tickets—it's about engineering intelligent, integrated ecosystems. The pace here is intense, the systems are massive, and the stakes are high. You’ll navigate complex technical debt and architect solutions for problems that don’t have a playbook. We need a systems-level thinker with the grit to dive into enterprise-scale configurations and the curiosity to leverage GenAI and Rovo Agents to redefine what’s possible. If you stay calm under pressure and care deeply about building tools that actually work at scale, this is where you’ll thrive. What You’ll Do Build and Scale: Design and optimize Jira and Confluence environments that support how our teams move in the real world—where performance and reliability are non-negotiable. Develop Custom Solutions: Build secure, scalable cloud applications directly within the Atlassian ecosystem, where your hands-on experience with Atlassian Forge app development and the Forge platform will be a distinct advantage. Navigate Complexity: Solve messy, high-impact problems across the Atlassian toolchain (Structure, JEMH, EazyBI, ScriptRunner) when the playbook doesn't exist. Automate th
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves. You will be a software engineer in AV Labs and involved in the development and implementation of the latest technology for self driving stacks. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. What the Candidate Will Do: Design the in vehicle software infrastructure. Performance tuning. Build onboard over the air update stack. Build the developer tools for robotics software development. Basic Qualifications: Minimum 3 years of working experience in the software engineering industry Bachelor degree in computer science, computer engineering or related fields Proficient in Python, C++ and Linux Experience with the Rob
Sep 04, 2026
Full time
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves. You will be a software engineer in AV Labs and involved in the development and implementation of the latest technology for self driving stacks. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. What the Candidate Will Do: Design the in vehicle software infrastructure. Performance tuning. Build onboard over the air update stack. Build the developer tools for robotics software development. Basic Qualifications: Minimum 3 years of working experience in the software engineering industry Bachelor degree in computer science, computer engineering or related fields Proficient in Python, C++ and Linux Experience with the Rob
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description This is a rare chance to lead the technical direction of one of the fastest-growing, most strategic businesses at ServiceNow. CRM & Industry Workflows is where the company is investing to win, and agentic AI is at the center of that bet — reshaping how customers run sales automation, CPQ, customer service, and field service. As Principal Forward Deployed Engineer, you are the lead architect for the FDE group within CRM & Industry Engineering: the person who turns that ambition into working solutions in front of real customers. This is a customer-facing engineering role. You work directly with ServiceNow customers to analyze their business and AI use cases, design agentic solutions on the ServiceNow platform, and deploy them into production. As the most senior technical member of t
Sep 03, 2026
Full time
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description This is a rare chance to lead the technical direction of one of the fastest-growing, most strategic businesses at ServiceNow. CRM & Industry Workflows is where the company is investing to win, and agentic AI is at the center of that bet — reshaping how customers run sales automation, CPQ, customer service, and field service. As Principal Forward Deployed Engineer, you are the lead architect for the FDE group within CRM & Industry Engineering: the person who turns that ambition into working solutions in front of real customers. This is a customer-facing engineering role. You work directly with ServiceNow customers to analyze their business and AI use cases, design agentic solutions on the ServiceNow platform, and deploy them into production. As the most senior technical member of t
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description This is a rare chance to lead the technical direction of one of the fastest-growing, most strategic businesses at ServiceNow. CRM & Industry Workflows is where the company is investing to win, and agentic AI is at the center of that bet — reshaping how customers run sales automation, CPQ, customer service, and field service. As Principal Forward Deployed Engineer, you are the lead architect for the FDE group within CRM & Industry Engineering: the person who turns that ambition into working solutions in front of real customers. This is a customer-facing engineering role. You work directly with ServiceNow customers to analyze their business and AI use cases, design agentic solutions on the ServiceNow platform, and deploy them into production. As the most senior technical member of t
Sep 03, 2026
Full time
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description This is a rare chance to lead the technical direction of one of the fastest-growing, most strategic businesses at ServiceNow. CRM & Industry Workflows is where the company is investing to win, and agentic AI is at the center of that bet — reshaping how customers run sales automation, CPQ, customer service, and field service. As Principal Forward Deployed Engineer, you are the lead architect for the FDE group within CRM & Industry Engineering: the person who turns that ambition into working solutions in front of real customers. This is a customer-facing engineering role. You work directly with ServiceNow customers to analyze their business and AI use cases, design agentic solutions on the ServiceNow platform, and deploy them into production. As the most senior technical member of t
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team Overview We build the AI layer of our CPQ platform — a set of Python services that let users configure, quote, and manage transactions through natural language instead of forms. This isn't a thin LLM wrapper. We're running multiple production agent architectures concurrently (ReAct-style tool-calling agents, hand-rolled LangGraph state machines, and the Harness — our from-scratch, industry-leading agent execution runtime). Our systems are backed by a first-party MCP surface into admin/product/rules/transaction systems and interoperate with other AI agents over the A2A protocol. Below that sits a conventional Java/Spring Boot microservices fleet and a React/TypeScript + Lit frontend that the agents ultimately drive. Role Overview We're looking for someone who already operates at
Sep 01, 2026
Full time
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team Overview We build the AI layer of our CPQ platform — a set of Python services that let users configure, quote, and manage transactions through natural language instead of forms. This isn't a thin LLM wrapper. We're running multiple production agent architectures concurrently (ReAct-style tool-calling agents, hand-rolled LangGraph state machines, and the Harness — our from-scratch, industry-leading agent execution runtime). Our systems are backed by a first-party MCP surface into admin/product/rules/transaction systems and interoperate with other AI agents over the A2A protocol. Below that sits a conventional Java/Spring Boot microservices fleet and a React/TypeScript + Lit frontend that the agents ultimately drive. Role Overview We're looking for someone who already operates at
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team Overview We build the AI layer of our CPQ platform — a set of Python services that let users configure, quote, and manage transactions through natural language instead of forms. This isn't a thin LLM wrapper. We're running multiple production agent architectures concurrently (ReAct-style tool-calling agents, hand-rolled LangGraph state machines, and the Harness — our from-scratch, industry-leading agent execution runtime). Our systems are backed by a first-party MCP surface into admin/product/rules/transaction systems and interoperate with other AI agents over the A2A protocol. Below that sits a conventional Java/Spring Boot microservices fleet and a React/TypeScript + Lit frontend that the agents ultimately drive. Role Overview We're looking for someone who already operates at
Sep 01, 2026
Full time
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team Overview We build the AI layer of our CPQ platform — a set of Python services that let users configure, quote, and manage transactions through natural language instead of forms. This isn't a thin LLM wrapper. We're running multiple production agent architectures concurrently (ReAct-style tool-calling agents, hand-rolled LangGraph state machines, and the Harness — our from-scratch, industry-leading agent execution runtime). Our systems are backed by a first-party MCP surface into admin/product/rules/transaction systems and interoperate with other AI agents over the A2A protocol. Below that sits a conventional Java/Spring Boot microservices fleet and a React/TypeScript + Lit frontend that the agents ultimately drive. Role Overview We're looking for someone who already operates at
About the role and team Uber's Marketplace Matching team builds the real-time decision systems that determine how riders and drivers are matched across a global, two-sided marketplace. These decisions happen under uncertainty, at massive scale, and with competing short- and long-term objectives across marketplace efficiency, reliability, sustainable growth, user value, and quality of experience. We are looking for a Staff Machine Learning Engineer to help define and build the next generation of matching optimization systems. This role sits at the intersection of machine learning, sequential decision-making, optimization, control, and marketplace dynamics. You will own major optimization charters, set technical direction, and lead ambiguous 0→1 problems from formulation through large-scale production deployment. The work is highly applied: new ideas and novel methods are strongly valued, but the goal is not research for its own sake. Success means finding the best solution — whether invented, adapted from state of the art, or significantly improved — and making it work reliably in a complex real-world marketplace What you’ll do Set technical direction and own major charters for Uber's real-time matching optimization and ML systems. Design matching objectives and decision policies that balance multiple competing marketplace goals across riders, drivers, and the platform. Develop and productionize ML-based decision systems for complex sequential and multi
Sep 01, 2026
Full time
About the role and team Uber's Marketplace Matching team builds the real-time decision systems that determine how riders and drivers are matched across a global, two-sided marketplace. These decisions happen under uncertainty, at massive scale, and with competing short- and long-term objectives across marketplace efficiency, reliability, sustainable growth, user value, and quality of experience. We are looking for a Staff Machine Learning Engineer to help define and build the next generation of matching optimization systems. This role sits at the intersection of machine learning, sequential decision-making, optimization, control, and marketplace dynamics. You will own major optimization charters, set technical direction, and lead ambiguous 0→1 problems from formulation through large-scale production deployment. The work is highly applied: new ideas and novel methods are strongly valued, but the goal is not research for its own sake. Success means finding the best solution — whether invented, adapted from state of the art, or significantly improved — and making it work reliably in a complex real-world marketplace What you’ll do Set technical direction and own major charters for Uber's real-time matching optimization and ML systems. Design matching objectives and decision policies that balance multiple competing marketplace goals across riders, drivers, and the platform. Develop and productionize ML-based decision systems for complex sequential and multi
Disney Movie Club
Glendale, California, United States of America
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News Distribution Platform team is responsible for building the data pipelines and core distribution services that deliver trusted journalism and breaking news experiences to millions of guests across ABC News, Good Morning America, and local television stations in eight major markets, including Los Angeles and New York. Our services enable real-time publishing, syndication, and distribution of content across web, mobile, and connected TV platforms. We operate systems that sit in the critical path of the News organization, where performance, scalability, and reliability are paramount—especially during high-profile live events and breaking news moments. Our mission is to ensure seamless, resilient, and low-latency content delivery at scale while continuously modernizing and evolving our platform. As a Senior Product Software Engineer, you will play a key role in shaping the technical direction of the News Distribution Platform. You will lead the design and delivery of scalable backend services, influence architectural decisions, and partner across product, design, and engineering teams to power exceptional guest experiences. You will be expected to operate with a high degree of ownership and accountability, raise the engineering bar, and proactively drive improvements that enhance reliability, performance, and developer effectiveness. Responsibilities: Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence. Set the architectural direction of backend distribution APIs and services to ensure high availability, resiliency, and low latency at scale. Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions. Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution. Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response. Set standards for operational excellence, including monitoring, alerting, on-call processes, and post-incident analysis. Perform thorough code reviews and uphold a high standard of technical rigor and maintainability. Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement. Drive performance optimization initiatives across services, caching layers, and data stores. Contribute to technical documentation and promote knowledge sharing across teams. Minimum Qualifications: Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 5+ years of experience building and operating highly available, distributed backend systems in production environments. Strong experience designing and developing large-scale backend services using Golang (preferred) and/or Java. Experience deploying and scaling services within cloud infrastructure, preferably AWS. Deep understanding of caching technologies (such as Redis, Memcached, or similar). Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals. Strong problem-solving skills with a proactive, detail-oriented approach. Experience with CI/CD pipelines and source control systems (e.g., Git, Gitlab, Jenkins). Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Grafana). Experience working in Agile/Scrum development environments. Strong communication skills and a commitment to collaboration in a fast-paced, guest-focused environment. The hiring range for this position in California is $141,900.00 to $190,300.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Sep 01, 2026
Full time
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News Distribution Platform team is responsible for building the data pipelines and core distribution services that deliver trusted journalism and breaking news experiences to millions of guests across ABC News, Good Morning America, and local television stations in eight major markets, including Los Angeles and New York. Our services enable real-time publishing, syndication, and distribution of content across web, mobile, and connected TV platforms. We operate systems that sit in the critical path of the News organization, where performance, scalability, and reliability are paramount—especially during high-profile live events and breaking news moments. Our mission is to ensure seamless, resilient, and low-latency content delivery at scale while continuously modernizing and evolving our platform. As a Senior Product Software Engineer, you will play a key role in shaping the technical direction of the News Distribution Platform. You will lead the design and delivery of scalable backend services, influence architectural decisions, and partner across product, design, and engineering teams to power exceptional guest experiences. You will be expected to operate with a high degree of ownership and accountability, raise the engineering bar, and proactively drive improvements that enhance reliability, performance, and developer effectiveness. Responsibilities: Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence. Set the architectural direction of backend distribution APIs and services to ensure high availability, resiliency, and low latency at scale. Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions. Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution. Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response. Set standards for operational excellence, including monitoring, alerting, on-call processes, and post-incident analysis. Perform thorough code reviews and uphold a high standard of technical rigor and maintainability. Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement. Drive performance optimization initiatives across services, caching layers, and data stores. Contribute to technical documentation and promote knowledge sharing across teams. Minimum Qualifications: Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 5+ years of experience building and operating highly available, distributed backend systems in production environments. Strong experience designing and developing large-scale backend services using Golang (preferred) and/or Java. Experience deploying and scaling services within cloud infrastructure, preferably AWS. Deep understanding of caching technologies (such as Redis, Memcached, or similar). Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals. Strong problem-solving skills with a proactive, detail-oriented approach. Experience with CI/CD pipelines and source control systems (e.g., Git, Gitlab, Jenkins). Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Grafana). Experience working in Agile/Scrum development environments. Strong communication skills and a commitment to collaboration in a fast-paced, guest-focused environment. The hiring range for this position in California is $141,900.00 to $190,300.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Movie Club
Glendale, California, United States of America
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News Distribution Platform team is responsible for building the data pipelines and core distribution services that deliver trusted journalism and breaking news experiences to millions of guests across ABC News, Good Morning America, and local television stations in eight major markets, including Los Angeles and New York. Our services enable real-time publishing, syndication, and distribution of content across web, mobile, and connected TV platforms. We operate systems that sit in the critical path of the News organization, where performance, scalability, and reliability are paramount—especially during high-profile live events and breaking news moments. Our mission is to ensure seamless, resilient, and low-latency content delivery at scale while continuously modernizing and evolving our platform. As a Product Software Engineer, you will participate in the design, development and testing of these platforms responsible for delivering news experiences to our guests. You will partner across product, design, and engineering teams to deliver solutions efficiently and on-time. You value good-faith collaboration, driving best practices, and promoting excellence on your team. If this sounds like you, we would love to hear from you! Responsibilities: Effectively communicate with stakeholders on project progress. Design and develop new solutions and drive alignment across engineering and product teams. Determine the most efficient means to sufficiently test new code: unit tests, integration tests, performance tests, etc. Follow best practices for the team for on-call responsibilities such as deployments, monitoring, and investigating incidents Use logs, monitoring tools etc. and work with developers to determine root causes across distributed components during production incidents. Participate in code reviews for members of the team, bearing a sense of responsibility for approved code. Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions. Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response. Contribute to technical documentation and promote knowledge sharing across teams. Minimum Qualifications: Bachelor's degree in Comp Sci, Info Systems, Software Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 3+ years of experience building and operating highly available, distributed backend systems in production environments. Experience developing large-scale backend services using Golang (preferred) and/or Java. Experience deploying and scaling services within cloud infrastructure, preferably AWS. Understanding of caching technologies (such as Redis, Memcached, or similar). Strong problem-solving skills with a proactive, detail-oriented approach. Experience with CI/CD pipelines and source control systems (e.g., Git, Gitlab, Jenkins). Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Grafana). Experience working in Agile/Scrum development environments. Strong communication skills and a commitment to collaboration in a fast-paced, guest-focused environment. The hiring range for this position in California is $117,500.00 to $157,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Sep 01, 2026
Full time
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News Distribution Platform team is responsible for building the data pipelines and core distribution services that deliver trusted journalism and breaking news experiences to millions of guests across ABC News, Good Morning America, and local television stations in eight major markets, including Los Angeles and New York. Our services enable real-time publishing, syndication, and distribution of content across web, mobile, and connected TV platforms. We operate systems that sit in the critical path of the News organization, where performance, scalability, and reliability are paramount—especially during high-profile live events and breaking news moments. Our mission is to ensure seamless, resilient, and low-latency content delivery at scale while continuously modernizing and evolving our platform. As a Product Software Engineer, you will participate in the design, development and testing of these platforms responsible for delivering news experiences to our guests. You will partner across product, design, and engineering teams to deliver solutions efficiently and on-time. You value good-faith collaboration, driving best practices, and promoting excellence on your team. If this sounds like you, we would love to hear from you! Responsibilities: Effectively communicate with stakeholders on project progress. Design and develop new solutions and drive alignment across engineering and product teams. Determine the most efficient means to sufficiently test new code: unit tests, integration tests, performance tests, etc. Follow best practices for the team for on-call responsibilities such as deployments, monitoring, and investigating incidents Use logs, monitoring tools etc. and work with developers to determine root causes across distributed components during production incidents. Participate in code reviews for members of the team, bearing a sense of responsibility for approved code. Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions. Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response. Contribute to technical documentation and promote knowledge sharing across teams. Minimum Qualifications: Bachelor's degree in Comp Sci, Info Systems, Software Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 3+ years of experience building and operating highly available, distributed backend systems in production environments. Experience developing large-scale backend services using Golang (preferred) and/or Java. Experience deploying and scaling services within cloud infrastructure, preferably AWS. Understanding of caching technologies (such as Redis, Memcached, or similar). Strong problem-solving skills with a proactive, detail-oriented approach. Experience with CI/CD pipelines and source control systems (e.g., Git, Gitlab, Jenkins). Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Grafana). Experience working in Agile/Scrum development environments. Strong communication skills and a commitment to collaboration in a fast-paced, guest-focused environment. The hiring range for this position in California is $117,500.00 to $157,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Intuit's Global Business Solutions Group (GBSG) builds the platform that powers prosperity for millions of small and mid-market businesses. Intuit Enterprise Suite (IES) is our AI-native ERP designed specifically for Mid Market businesses. We are looking for a curious, influential, and deeply strategic data science leader with a passion for B2B growth marketing to drive the data science program within IES marketing. This role will interface directly with Channel Marketing, Product Marketing, Sales, and Finance leaders and be expected to directly influence customer growth by driving data-backed perspectives against our marketing roadmaps and optimizing our marketing investments. This role will be expected to accelerate IES growth by directly shaping the direction of our full-funnel marketing efforts. Responsibilities Drive IES growth by shaping the strategic direction of our full-funnel marketing investments alongside Marketing, Finance, and Sales leaders through decomposition of GTM strategy into measurable frameworks - identify the critical assumptions underlying the plan, size sensitivity, and design the measurement that unlocks them Execute marketing measurement through data instrumentation, reporting, marketing measurement models, experimentation, and other causal measurement techniques, powered by agentic systems Synthesize business performance narratives across the entire Digital and Sales funnel, shaping the unified understanding of performance drivers and headwinds against our target. Identify opportunities and operationalize motions to win against them, from top of funnel demand gen marketing all the way through to MQL, SQL, and closed opportunities via Sales. Unpack media channel contribution and drive continuous x-channel optimization to improve growth and ROI Own the data architecture and systems that power clean views on marketing performance - build and enhance with new data source and technology integrations. Build a durable understanding of the Mid-Market customer and the path to grow them via data-backed hypotheses and measurement Qualifications 8+ years in data science or analytics, including significant depth in marketing, growth, or go-to-market measurement, with a track record of driving strategy and impact across multiple initiatives or business units. Proven ability to direct growth roadmaps and influence strategy with data-backed hypotheses and measurement initiatives Demonstrated B2B marketing measurement expertise: deep, direct experience with demand gen and account-based marketing in a high-ACV product Experience with lead lifecycle and lead-quality measurement across the MQL through Closed Won funnel Expertise in marketing measurement techniques include advanced marketing models, experimentation, synthetic control, and channel attribution. Ability to partner with XFN leaders and advocate for DS projects that require downstream dependencies, own program prioritization and execution of a broad portfolio of DS responsibilities Deep strategic and business management thinking with domain knowledge on core finance, product marketing, and corporate strategy concepts Exceptional tops-down executive communication: proven ability to construct a data narrative in dynamic situations with Director and VP-level leaders Advanced SQL and Python, hands-on instrumentation and pipeline/ETL construction, and comfort working directly in large, multi-source enterprise data (CRM/Salesforce, Marketo, ad platform, web clickstream). Experience building and shipping AI agent systems for use by both internal and external teams BS or MS in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Engineering, Business or a related quantitative field, or equivalent work experience. Advanced degree preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $210,500 - $284,500
Aug 31, 2026
Full time
Intuit's Global Business Solutions Group (GBSG) builds the platform that powers prosperity for millions of small and mid-market businesses. Intuit Enterprise Suite (IES) is our AI-native ERP designed specifically for Mid Market businesses. We are looking for a curious, influential, and deeply strategic data science leader with a passion for B2B growth marketing to drive the data science program within IES marketing. This role will interface directly with Channel Marketing, Product Marketing, Sales, and Finance leaders and be expected to directly influence customer growth by driving data-backed perspectives against our marketing roadmaps and optimizing our marketing investments. This role will be expected to accelerate IES growth by directly shaping the direction of our full-funnel marketing efforts. Responsibilities Drive IES growth by shaping the strategic direction of our full-funnel marketing investments alongside Marketing, Finance, and Sales leaders through decomposition of GTM strategy into measurable frameworks - identify the critical assumptions underlying the plan, size sensitivity, and design the measurement that unlocks them Execute marketing measurement through data instrumentation, reporting, marketing measurement models, experimentation, and other causal measurement techniques, powered by agentic systems Synthesize business performance narratives across the entire Digital and Sales funnel, shaping the unified understanding of performance drivers and headwinds against our target. Identify opportunities and operationalize motions to win against them, from top of funnel demand gen marketing all the way through to MQL, SQL, and closed opportunities via Sales. Unpack media channel contribution and drive continuous x-channel optimization to improve growth and ROI Own the data architecture and systems that power clean views on marketing performance - build and enhance with new data source and technology integrations. Build a durable understanding of the Mid-Market customer and the path to grow them via data-backed hypotheses and measurement Qualifications 8+ years in data science or analytics, including significant depth in marketing, growth, or go-to-market measurement, with a track record of driving strategy and impact across multiple initiatives or business units. Proven ability to direct growth roadmaps and influence strategy with data-backed hypotheses and measurement initiatives Demonstrated B2B marketing measurement expertise: deep, direct experience with demand gen and account-based marketing in a high-ACV product Experience with lead lifecycle and lead-quality measurement across the MQL through Closed Won funnel Expertise in marketing measurement techniques include advanced marketing models, experimentation, synthetic control, and channel attribution. Ability to partner with XFN leaders and advocate for DS projects that require downstream dependencies, own program prioritization and execution of a broad portfolio of DS responsibilities Deep strategic and business management thinking with domain knowledge on core finance, product marketing, and corporate strategy concepts Exceptional tops-down executive communication: proven ability to construct a data narrative in dynamic situations with Director and VP-level leaders Advanced SQL and Python, hands-on instrumentation and pipeline/ETL construction, and comfort working directly in large, multi-source enterprise data (CRM/Salesforce, Marketo, ad platform, web clickstream). Experience building and shipping AI agent systems for use by both internal and external teams BS or MS in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Engineering, Business or a related quantitative field, or equivalent work experience. Advanced degree preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $210,500 - $284,500
Come join the Consumer Group Data Engineering Team as a Staff Software Engineer . We are leveraging big data technologies to gain new insights into our customer experiences, building data frameworks, ingestion pipelines and tools. Some of the technologies we are leveraging include Google Cloud, SPARK, Flink and AWS Big Data Systems. As a Staff Software Engineer, you will be a technical leader and domain expert in data engineering , responsible for multiple capabilities or sections of a composite application. This role involves applying master level software engineering and industry best practices to design, implement, and support software products and services, leading complex projects. You will participate in the entire product lifecycle for data, software products, and services that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. You will utilize specialized knowledge to design, develop, and maintain Intuit’s data solutions. This is an individual contributor level role with no direct reports or managerial duties. You will typically drive work across one or more scrum teams (5 to 12 engineers) , influencing technology and product direction and making localized decisions that balance short-term goals with long-term business impact. You will act as a role-blended engineer, proactively identifying and sizing growth opportunities, and partnering closely with product managers, designers, and data scientists to ideate, test, and validate hypotheses using rapid experimentation. Responsibilities Technical Leadership & Execution 70-85% hands-on development in all phases of the software life cycle. Rapidly fix bugs and solve problems, and troubleshoot issues, defining ongoing solutions. Expertly diagnose and resolve complex, cross-capability issues. Lead, estimate work for initiatives Create technical design specifications and implement data models Mentorship & Cross-Functional Collaboration Raise team knowledge, skill, and engagement through collaborative technical sessions and other tech forums. Mentor and assess engineers, continuously developing and maintaining a strong talent pipeline, and actively participating in calibrations and assessments. Role model and develop a culture of inclusivity on the team. You will guide and mentor engineers to elevate experimentation and growth engineering capabilities across the organization. Growth & Product Mindset Understand customer behavior, funnel metrics, and business levers, ensuring every technical investment drives measurable impact. Demonstrate a deep understanding of current technology trends and best practices. You will leverage expertise in end-to-end system design using a mindset of 5 pillars (Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization), creating and promoting standards and guiding teams to balance long and short outcomes. Qualifications BS or MS in Computer Science, Data Engineering, or a related field. 8+ years of software engineering experience, with a strong background in data engineering. Expertise in developing Software for Java (Spring & Springboot), Scala for Spark streaming & Spark applications, or other JVM based languages. 5+ years of Expert professional experience with SQL, XML, JSON, YML, very strong Python and Linux. Experience Building and using AI / ML, Generative AI, and experience with growth-focused AI/ML applications (personalization, recommendation engines, predictive modeling). Use of GenAI technologies such as Cursor or Windsurf to accelerate development and efficiency in the software development to build reusable GenAI platform components. Expertise with tools and frameworks such as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker. Expert knowledge of software development methodologies and practices, including Agile Development, SCRUM, and/or Extreme Programming methodologies. Strong background using cloud platforms such as AWS, Azure, or GCP, including Amazon Web Services: EC2, S3, EMR (Elastic Map Reduce), DynamoDB, and Athena, or equivalent cloud computing approaches. Expertise with AWS is specifically noted. Professional working experience in Data Warehousing and analytic architecture and experience working with large data volumes and data visualization. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: San Diego $188,500 - $255,000 Mountain View, CA $202,500- $274,000
Aug 31, 2026
Full time
Come join the Consumer Group Data Engineering Team as a Staff Software Engineer . We are leveraging big data technologies to gain new insights into our customer experiences, building data frameworks, ingestion pipelines and tools. Some of the technologies we are leveraging include Google Cloud, SPARK, Flink and AWS Big Data Systems. As a Staff Software Engineer, you will be a technical leader and domain expert in data engineering , responsible for multiple capabilities or sections of a composite application. This role involves applying master level software engineering and industry best practices to design, implement, and support software products and services, leading complex projects. You will participate in the entire product lifecycle for data, software products, and services that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. You will utilize specialized knowledge to design, develop, and maintain Intuit’s data solutions. This is an individual contributor level role with no direct reports or managerial duties. You will typically drive work across one or more scrum teams (5 to 12 engineers) , influencing technology and product direction and making localized decisions that balance short-term goals with long-term business impact. You will act as a role-blended engineer, proactively identifying and sizing growth opportunities, and partnering closely with product managers, designers, and data scientists to ideate, test, and validate hypotheses using rapid experimentation. Responsibilities Technical Leadership & Execution 70-85% hands-on development in all phases of the software life cycle. Rapidly fix bugs and solve problems, and troubleshoot issues, defining ongoing solutions. Expertly diagnose and resolve complex, cross-capability issues. Lead, estimate work for initiatives Create technical design specifications and implement data models Mentorship & Cross-Functional Collaboration Raise team knowledge, skill, and engagement through collaborative technical sessions and other tech forums. Mentor and assess engineers, continuously developing and maintaining a strong talent pipeline, and actively participating in calibrations and assessments. Role model and develop a culture of inclusivity on the team. You will guide and mentor engineers to elevate experimentation and growth engineering capabilities across the organization. Growth & Product Mindset Understand customer behavior, funnel metrics, and business levers, ensuring every technical investment drives measurable impact. Demonstrate a deep understanding of current technology trends and best practices. You will leverage expertise in end-to-end system design using a mindset of 5 pillars (Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization), creating and promoting standards and guiding teams to balance long and short outcomes. Qualifications BS or MS in Computer Science, Data Engineering, or a related field. 8+ years of software engineering experience, with a strong background in data engineering. Expertise in developing Software for Java (Spring & Springboot), Scala for Spark streaming & Spark applications, or other JVM based languages. 5+ years of Expert professional experience with SQL, XML, JSON, YML, very strong Python and Linux. Experience Building and using AI / ML, Generative AI, and experience with growth-focused AI/ML applications (personalization, recommendation engines, predictive modeling). Use of GenAI technologies such as Cursor or Windsurf to accelerate development and efficiency in the software development to build reusable GenAI platform components. Expertise with tools and frameworks such as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker. Expert knowledge of software development methodologies and practices, including Agile Development, SCRUM, and/or Extreme Programming methodologies. Strong background using cloud platforms such as AWS, Azure, or GCP, including Amazon Web Services: EC2, S3, EMR (Elastic Map Reduce), DynamoDB, and Athena, or equivalent cloud computing approaches. Expertise with AWS is specifically noted. Professional working experience in Data Warehousing and analytic architecture and experience working with large data volumes and data visualization. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: San Diego $188,500 - $255,000 Mountain View, CA $202,500- $274,000
Intuit's Global Business Solutions Group (GBSG) builds the platform that powers prosperity for millions of small and mid-market businesses. Intuit Enterprise Suite (IES) is our AI-native ERP designed specifically for Mid Market businesses. We are looking for a curious, influential, and deeply strategic data science leader with a passion for B2B growth marketing to drive the data science program within IES marketing. This role will interface directly with Channel Marketing, Product Marketing, Sales, and Finance leaders and be expected to directly influence customer growth by driving data-backed perspectives against our marketing roadmaps and optimizing our marketing investments. This role will be expected to accelerate IES growth by directly shaping the direction of our full-funnel marketing efforts. Responsibilities Drive IES growth by shaping the strategic direction of our full-funnel marketing investments alongside Marketing, Finance, and Sales leaders through decomposition of GTM strategy into measurable frameworks - identify the critical assumptions underlying the plan, size sensitivity, and design the measurement that unlocks them Execute marketing measurement through data instrumentation, reporting, marketing measurement models, experimentation, and other causal measurement techniques, powered by agentic systems Synthesize business performance narratives across the entire Digital and Sales funnel, shaping the unified understanding of performance drivers and headwinds against our target. Identify opportunities and operationalize motions to win against them, from top of funnel demand gen marketing all the way through to MQL, SQL, and closed opportunities via Sales. Unpack media channel contribution and drive continuous x-channel optimization to improve growth and ROI Own the data architecture and systems that power clean views on marketing performance - build and enhance with new data source and technology integrations. Build a durable understanding of the Mid-Market customer and the path to grow them via data-backed hypotheses and measurement Qualifications 8+ years in data science or analytics, including significant depth in marketing, growth, or go-to-market measurement, with a track record of driving strategy and impact across multiple initiatives or business units. Proven ability to direct growth roadmaps and influence strategy with data-backed hypotheses and measurement initiatives Demonstrated B2B marketing measurement expertise: deep, direct experience with demand gen and account-based marketing in a high-ACV product Experience with lead lifecycle and lead-quality measurement across the MQL through Closed Won funnel Expertise in marketing measurement techniques include advanced marketing models, experimentation, synthetic control, and channel attribution. Ability to partner with XFN leaders and advocate for DS projects that require downstream dependencies, own program prioritization and execution of a broad portfolio of DS responsibilities Deep strategic and business management thinking with domain knowledge on core finance, product marketing, and corporate strategy concepts Exceptional tops-down executive communication: proven ability to construct a data narrative in dynamic situations with Director and VP-level leaders Advanced SQL and Python, hands-on instrumentation and pipeline/ETL construction, and comfort working directly in large, multi-source enterprise data (CRM/Salesforce, Marketo, ad platform, web clickstream). Experience building and shipping AI agent systems for use by both internal and external teams BS or MS in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Engineering, Business or a related quantitative field, or equivalent work experience. Advanced degree preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $210,500 - $284,500
Aug 31, 2026
Full time
Intuit's Global Business Solutions Group (GBSG) builds the platform that powers prosperity for millions of small and mid-market businesses. Intuit Enterprise Suite (IES) is our AI-native ERP designed specifically for Mid Market businesses. We are looking for a curious, influential, and deeply strategic data science leader with a passion for B2B growth marketing to drive the data science program within IES marketing. This role will interface directly with Channel Marketing, Product Marketing, Sales, and Finance leaders and be expected to directly influence customer growth by driving data-backed perspectives against our marketing roadmaps and optimizing our marketing investments. This role will be expected to accelerate IES growth by directly shaping the direction of our full-funnel marketing efforts. Responsibilities Drive IES growth by shaping the strategic direction of our full-funnel marketing investments alongside Marketing, Finance, and Sales leaders through decomposition of GTM strategy into measurable frameworks - identify the critical assumptions underlying the plan, size sensitivity, and design the measurement that unlocks them Execute marketing measurement through data instrumentation, reporting, marketing measurement models, experimentation, and other causal measurement techniques, powered by agentic systems Synthesize business performance narratives across the entire Digital and Sales funnel, shaping the unified understanding of performance drivers and headwinds against our target. Identify opportunities and operationalize motions to win against them, from top of funnel demand gen marketing all the way through to MQL, SQL, and closed opportunities via Sales. Unpack media channel contribution and drive continuous x-channel optimization to improve growth and ROI Own the data architecture and systems that power clean views on marketing performance - build and enhance with new data source and technology integrations. Build a durable understanding of the Mid-Market customer and the path to grow them via data-backed hypotheses and measurement Qualifications 8+ years in data science or analytics, including significant depth in marketing, growth, or go-to-market measurement, with a track record of driving strategy and impact across multiple initiatives or business units. Proven ability to direct growth roadmaps and influence strategy with data-backed hypotheses and measurement initiatives Demonstrated B2B marketing measurement expertise: deep, direct experience with demand gen and account-based marketing in a high-ACV product Experience with lead lifecycle and lead-quality measurement across the MQL through Closed Won funnel Expertise in marketing measurement techniques include advanced marketing models, experimentation, synthetic control, and channel attribution. Ability to partner with XFN leaders and advocate for DS projects that require downstream dependencies, own program prioritization and execution of a broad portfolio of DS responsibilities Deep strategic and business management thinking with domain knowledge on core finance, product marketing, and corporate strategy concepts Exceptional tops-down executive communication: proven ability to construct a data narrative in dynamic situations with Director and VP-level leaders Advanced SQL and Python, hands-on instrumentation and pipeline/ETL construction, and comfort working directly in large, multi-source enterprise data (CRM/Salesforce, Marketo, ad platform, web clickstream). Experience building and shipping AI agent systems for use by both internal and external teams BS or MS in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Engineering, Business or a related quantitative field, or equivalent work experience. Advanced degree preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $210,500 - $284,500
Come join the Consumer Group Data Engineering Team as a Staff Software Engineer . We are leveraging big data technologies to gain new insights into our customer experiences, building data frameworks, ingestion pipelines and tools. Some of the technologies we are leveraging include Google Cloud, SPARK, Flink and AWS Big Data Systems. As a Staff Software Engineer, you will be a technical leader and domain expert in data engineering , responsible for multiple capabilities or sections of a composite application. This role involves applying master level software engineering and industry best practices to design, implement, and support software products and services, leading complex projects. You will participate in the entire product lifecycle for data, software products, and services that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. You will utilize specialized knowledge to design, develop, and maintain Intuit’s data solutions. This is an individual contributor level role with no direct reports or managerial duties. You will typically drive work across one or more scrum teams (5 to 12 engineers) , influencing technology and product direction and making localized decisions that balance short-term goals with long-term business impact. You will act as a role-blended engineer, proactively identifying and sizing growth opportunities, and partnering closely with product managers, designers, and data scientists to ideate, test, and validate hypotheses using rapid experimentation. Responsibilities Technical Leadership & Execution 70-85% hands-on development in all phases of the software life cycle. Rapidly fix bugs and solve problems, and troubleshoot issues, defining ongoing solutions. Expertly diagnose and resolve complex, cross-capability issues. Lead, estimate work for initiatives Create technical design specifications and implement data models Mentorship & Cross-Functional Collaboration Raise team knowledge, skill, and engagement through collaborative technical sessions and other tech forums. Mentor and assess engineers, continuously developing and maintaining a strong talent pipeline, and actively participating in calibrations and assessments. Role model and develop a culture of inclusivity on the team. You will guide and mentor engineers to elevate experimentation and growth engineering capabilities across the organization. Growth & Product Mindset Understand customer behavior, funnel metrics, and business levers, ensuring every technical investment drives measurable impact. Demonstrate a deep understanding of current technology trends and best practices. You will leverage expertise in end-to-end system design using a mindset of 5 pillars (Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization), creating and promoting standards and guiding teams to balance long and short outcomes. Qualifications BS or MS in Computer Science, Data Engineering, or a related field. 8+ years of software engineering experience, with a strong background in data engineering. Expertise in developing Software for Java (Spring & Springboot), Scala for Spark streaming & Spark applications, or other JVM based languages. 5+ years of Expert professional experience with SQL, XML, JSON, YML, very strong Python and Linux. Experience Building and using AI / ML, Generative AI, and experience with growth-focused AI/ML applications (personalization, recommendation engines, predictive modeling). Use of GenAI technologies such as Cursor or Windsurf to accelerate development and efficiency in the software development to build reusable GenAI platform components. Expertise with tools and frameworks such as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker. Expert knowledge of software development methodologies and practices, including Agile Development, SCRUM, and/or Extreme Programming methodologies. Strong background using cloud platforms such as AWS, Azure, or GCP, including Amazon Web Services: EC2, S3, EMR (Elastic Map Reduce), DynamoDB, and Athena, or equivalent cloud computing approaches. Expertise with AWS is specifically noted. Professional working experience in Data Warehousing and analytic architecture and experience working with large data volumes and data visualization. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: San Diego $188,500 - $255,000 Mountain View, CA $202,500- $274,000
Aug 31, 2026
Full time
Come join the Consumer Group Data Engineering Team as a Staff Software Engineer . We are leveraging big data technologies to gain new insights into our customer experiences, building data frameworks, ingestion pipelines and tools. Some of the technologies we are leveraging include Google Cloud, SPARK, Flink and AWS Big Data Systems. As a Staff Software Engineer, you will be a technical leader and domain expert in data engineering , responsible for multiple capabilities or sections of a composite application. This role involves applying master level software engineering and industry best practices to design, implement, and support software products and services, leading complex projects. You will participate in the entire product lifecycle for data, software products, and services that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. You will utilize specialized knowledge to design, develop, and maintain Intuit’s data solutions. This is an individual contributor level role with no direct reports or managerial duties. You will typically drive work across one or more scrum teams (5 to 12 engineers) , influencing technology and product direction and making localized decisions that balance short-term goals with long-term business impact. You will act as a role-blended engineer, proactively identifying and sizing growth opportunities, and partnering closely with product managers, designers, and data scientists to ideate, test, and validate hypotheses using rapid experimentation. Responsibilities Technical Leadership & Execution 70-85% hands-on development in all phases of the software life cycle. Rapidly fix bugs and solve problems, and troubleshoot issues, defining ongoing solutions. Expertly diagnose and resolve complex, cross-capability issues. Lead, estimate work for initiatives Create technical design specifications and implement data models Mentorship & Cross-Functional Collaboration Raise team knowledge, skill, and engagement through collaborative technical sessions and other tech forums. Mentor and assess engineers, continuously developing and maintaining a strong talent pipeline, and actively participating in calibrations and assessments. Role model and develop a culture of inclusivity on the team. You will guide and mentor engineers to elevate experimentation and growth engineering capabilities across the organization. Growth & Product Mindset Understand customer behavior, funnel metrics, and business levers, ensuring every technical investment drives measurable impact. Demonstrate a deep understanding of current technology trends and best practices. You will leverage expertise in end-to-end system design using a mindset of 5 pillars (Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization), creating and promoting standards and guiding teams to balance long and short outcomes. Qualifications BS or MS in Computer Science, Data Engineering, or a related field. 8+ years of software engineering experience, with a strong background in data engineering. Expertise in developing Software for Java (Spring & Springboot), Scala for Spark streaming & Spark applications, or other JVM based languages. 5+ years of Expert professional experience with SQL, XML, JSON, YML, very strong Python and Linux. Experience Building and using AI / ML, Generative AI, and experience with growth-focused AI/ML applications (personalization, recommendation engines, predictive modeling). Use of GenAI technologies such as Cursor or Windsurf to accelerate development and efficiency in the software development to build reusable GenAI platform components. Expertise with tools and frameworks such as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker. Expert knowledge of software development methodologies and practices, including Agile Development, SCRUM, and/or Extreme Programming methodologies. Strong background using cloud platforms such as AWS, Azure, or GCP, including Amazon Web Services: EC2, S3, EMR (Elastic Map Reduce), DynamoDB, and Athena, or equivalent cloud computing approaches. Expertise with AWS is specifically noted. Professional working experience in Data Warehousing and analytic architecture and experience working with large data volumes and data visualization. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: San Diego $188,500 - $255,000 Mountain View, CA $202,500- $274,000
Immigration sponsorship is not available for this position What you can expect: We are seeking a highly skilled and motivated Audio Software Engineer to join our team. The successful candidate will be responsible for developing and enhancing our web client's audio capabilities, ensuring high-quality audio performance across various platforms and devices. This position requires a strong understanding of audio signal processing, web technologies, and user experience design to create immersive and seamless audio experiences for our users. Responsibilities: Design, develop, and maintain audio processing and streaming features for the web client. Collaborate with cross-functional teams to integrate audio functionalities with other web services and features. Optimize audio performance for low latency, high fidelity, and efficiency across different browsers and devices. Implement audio effects, noise suppression, echo cancellation, and other DSP (Digital Signal Processing) techniques. Stay up-to-date with emerging web audio technologies and standards to continuously improve our audio capabilities. Debug and resolve audio-related issues reported by users or identified through testing. Write clean, maintainable, and well-documented code in accordance with industry best practices. Participate in code reviews, contribute to team knowledge sharing, and mentor junior engineers. What we're looking for: Requires a bachelor’s degree in Computer Science, Digital Signal Processing, Software Engineering, a related field, or a foreign equivalent. Must have 4 years of experience in job offered or related occupation. Must have 4 years of experience in the following: 4 years of experience with Software engineering with a focus on audio applications, preferably in a web environment; 4 years of experience with web technologies (JavaScript, Web Audio API); 4 years of experience with C++ (Web Assembly); 4 years of experience with Audio signal processing, codecs, and audio formats; 4 years of experience with Real-time audio processing and streaming protocols; 4 years of experience with Cross-browser development and debugging; 4 years of experience with WebRTC and developing real-time communication applications; and 4 years of experience with front-end frameworks such as React or Angular. Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. Position does not require domestic or international travel. Zoom Communications, Inc. #LI-DNI #Ind0 Salary Range or On Target Earnings: Minimum: $221,374.00 Maximum: $255,400.00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations. Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step. Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.
Aug 31, 2026
Full time
Immigration sponsorship is not available for this position What you can expect: We are seeking a highly skilled and motivated Audio Software Engineer to join our team. The successful candidate will be responsible for developing and enhancing our web client's audio capabilities, ensuring high-quality audio performance across various platforms and devices. This position requires a strong understanding of audio signal processing, web technologies, and user experience design to create immersive and seamless audio experiences for our users. Responsibilities: Design, develop, and maintain audio processing and streaming features for the web client. Collaborate with cross-functional teams to integrate audio functionalities with other web services and features. Optimize audio performance for low latency, high fidelity, and efficiency across different browsers and devices. Implement audio effects, noise suppression, echo cancellation, and other DSP (Digital Signal Processing) techniques. Stay up-to-date with emerging web audio technologies and standards to continuously improve our audio capabilities. Debug and resolve audio-related issues reported by users or identified through testing. Write clean, maintainable, and well-documented code in accordance with industry best practices. Participate in code reviews, contribute to team knowledge sharing, and mentor junior engineers. What we're looking for: Requires a bachelor’s degree in Computer Science, Digital Signal Processing, Software Engineering, a related field, or a foreign equivalent. Must have 4 years of experience in job offered or related occupation. Must have 4 years of experience in the following: 4 years of experience with Software engineering with a focus on audio applications, preferably in a web environment; 4 years of experience with web technologies (JavaScript, Web Audio API); 4 years of experience with C++ (Web Assembly); 4 years of experience with Audio signal processing, codecs, and audio formats; 4 years of experience with Real-time audio processing and streaming protocols; 4 years of experience with Cross-browser development and debugging; 4 years of experience with WebRTC and developing real-time communication applications; and 4 years of experience with front-end frameworks such as React or Angular. Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. Position does not require domestic or international travel. Zoom Communications, Inc. #LI-DNI #Ind0 Salary Range or On Target Earnings: Minimum: $221,374.00 Maximum: $255,400.00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations. Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step. Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.
Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. We are looking for a strong Senior Staff Data Scientist to lead Talent Acquisition analytics strategy. As Talent Acquisition analytics has moved past descriptive reporting, this lead position will drive overall TA analytics strategy focusing on hiring forecasting, talent funnel conversion modeling, and defining and delivering AI-native use cases and prototypes across data & analytics. This role plays a key part in supporting major HR initiatives, including workforce planning and organizational effectiveness. This individual will build trust in TA's data, both in Avature and in the data lake, and translate that trust into a strategic understanding of the talent data ecosystem that strengthens TA's ability to meet business hiring needs and deliver on operational excellence. This is not purely a technical role. It requires the business acumen and leadership presence to connect insights across the full candidate and employee lifecycle - bringing hiring, attrition, and internal mobility together - and to operate as a trusted advisor to TA leadership, shaping the questions as well as answering them. It also means bringing an external lens into TA: benchmarking Intuit's hiring funnel, forecasting approach, and recruiter productivity against industry standards, so TA's methods keep pace with where the broader market is headed. Working across the broader People Analytics team, you will partner on Talent Acquisition data products, analytics, and models combining hands-on analysis with the advisory judgment to turn findings into decisions. Responsibilities Data & Analytics Roadmap Design & Execution Translate TA and business strategy into analytical problems, self-generating hypotheses from the data and validating or disproving them to produce recommendations that inform hiring and workforce decisions across multiple initiatives. Develop, maintain, and socialize the Talent Acquisition Data & Analytics roadmap, reflecting a prioritized inventory of the current and upcoming work, and drive the business case for the investments it implies. Define the metrics that hold TA and business leaders accountable for hiring strength and requisition governance, at the function level rather than the individual report level. Combine insights, business acumen, and strategic considerations to influence Director-level and above stakeholders, translating complex analysis into a narrative leaders will act on rather than simply report against. Connect insights across the candidate and employee lifecycle, bringing hiring, attrition, and internal mobility together into a single view. Bring external analytics benchmarking and TA industry best practices into Intuit, so forecasting, funnel, and recruiter-productivity work is informed by where the broader market and competitors are heading, not only by internal history. Strategy and Measurement for AI-Native Experiences Ideate and scope AI use cases within Talent Acquisition by connecting industry-wide developments in AI with strategic insight, customer knowledge, and TA domain knowledge, from ideation through measurement. Influence cross-functional partners in creating a development plan for those use cases, and define success metrics that connect model performance to hiring and business outcomes. Provide thought partnership on phased testing and rollout of AI-native experiences, with the right measurement in place at each stage. Drive requirements for scaled solutions including automated insights, dashboards, and reporting that support TA leadership, recruiters, HR, and Finance. Own TA's data governance framework across Avature and the data lake, ensuring data quality, cleanliness, and readiness for AI and advanced analytics. Inference and Algorithms Build and evolve hiring forecast and funnel conversion models, applying predictive and causal inference techniques to identify trends, friction points, and opportunities to improve hiring outcomes. Manage the end-to-end aspects of complex analytics model builds, from scope and requirements through stakeholder management and delivery, for work that drives function-level decisions. Partner on recruiter capacity and productivity analytics, bringing recommendations that sharpen capacity planning and target-setting accuracy, and designing new models where the current approach leaves gaps. Identify new methodologies and external trends and adapt them to TA use cases, creating shareable frameworks that clarify when and how a new approach should be used. Collaborate across TA, People Analytics Research Team, Finance, and other stakeholders to share knowledge and build scalable, enterprise-ready solutions. Qualifications 8+ years of experience in People Analytics, including data science roles, with 5+ years supporting Talent Acquisition analytics. Proven experience partnering closely with Talent Acquisition leadership to maintain an end-to-end analytics roadmap, and leading cross-functional analytics initiatives involving multiple stakeholders across HR, technology, and business. Demonstrated expertise in building and interpreting hiring models, including predictive and forecast models, and applied experience with causal inference methods such as propensity score, difference-in-differences, or synthetic control, with clarity on when each applies. Advanced SQL and fluency in Python or R, with genuine hands-on comfort with data wrangling and analysis. Experience scoping and measuring AI-native experiences, with a clear approach to measurement at each stage of phased testing and rollout, and fluency in how model performance metrics connect to business outcomes. Proven ability to partner with senior leaders as an advisor, with the judgment to determine how much analysis a decision requires and the credibility to stand behind a recommendation. The judgment to connect hiring, attrition, and internal mobility signals into a single lifecycle view rather than treating TA analytics as a siloed function, and to know when a question calls for a deeper model versus a fast, directional read that unblocks a leadership decision. Experience working with Avature or other related ATS systems. Demonstrated ownership of data governance frameworks and data quality standards, including making an imperfect data source trustworthy and keeping it that way. Passion for enabling data-driven, equitable people processes that foster growth and inclusion. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $210,500 - $284,500
Aug 26, 2026
Full time
Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. We are looking for a strong Senior Staff Data Scientist to lead Talent Acquisition analytics strategy. As Talent Acquisition analytics has moved past descriptive reporting, this lead position will drive overall TA analytics strategy focusing on hiring forecasting, talent funnel conversion modeling, and defining and delivering AI-native use cases and prototypes across data & analytics. This role plays a key part in supporting major HR initiatives, including workforce planning and organizational effectiveness. This individual will build trust in TA's data, both in Avature and in the data lake, and translate that trust into a strategic understanding of the talent data ecosystem that strengthens TA's ability to meet business hiring needs and deliver on operational excellence. This is not purely a technical role. It requires the business acumen and leadership presence to connect insights across the full candidate and employee lifecycle - bringing hiring, attrition, and internal mobility together - and to operate as a trusted advisor to TA leadership, shaping the questions as well as answering them. It also means bringing an external lens into TA: benchmarking Intuit's hiring funnel, forecasting approach, and recruiter productivity against industry standards, so TA's methods keep pace with where the broader market is headed. Working across the broader People Analytics team, you will partner on Talent Acquisition data products, analytics, and models combining hands-on analysis with the advisory judgment to turn findings into decisions. Responsibilities Data & Analytics Roadmap Design & Execution Translate TA and business strategy into analytical problems, self-generating hypotheses from the data and validating or disproving them to produce recommendations that inform hiring and workforce decisions across multiple initiatives. Develop, maintain, and socialize the Talent Acquisition Data & Analytics roadmap, reflecting a prioritized inventory of the current and upcoming work, and drive the business case for the investments it implies. Define the metrics that hold TA and business leaders accountable for hiring strength and requisition governance, at the function level rather than the individual report level. Combine insights, business acumen, and strategic considerations to influence Director-level and above stakeholders, translating complex analysis into a narrative leaders will act on rather than simply report against. Connect insights across the candidate and employee lifecycle, bringing hiring, attrition, and internal mobility together into a single view. Bring external analytics benchmarking and TA industry best practices into Intuit, so forecasting, funnel, and recruiter-productivity work is informed by where the broader market and competitors are heading, not only by internal history. Strategy and Measurement for AI-Native Experiences Ideate and scope AI use cases within Talent Acquisition by connecting industry-wide developments in AI with strategic insight, customer knowledge, and TA domain knowledge, from ideation through measurement. Influence cross-functional partners in creating a development plan for those use cases, and define success metrics that connect model performance to hiring and business outcomes. Provide thought partnership on phased testing and rollout of AI-native experiences, with the right measurement in place at each stage. Drive requirements for scaled solutions including automated insights, dashboards, and reporting that support TA leadership, recruiters, HR, and Finance. Own TA's data governance framework across Avature and the data lake, ensuring data quality, cleanliness, and readiness for AI and advanced analytics. Inference and Algorithms Build and evolve hiring forecast and funnel conversion models, applying predictive and causal inference techniques to identify trends, friction points, and opportunities to improve hiring outcomes. Manage the end-to-end aspects of complex analytics model builds, from scope and requirements through stakeholder management and delivery, for work that drives function-level decisions. Partner on recruiter capacity and productivity analytics, bringing recommendations that sharpen capacity planning and target-setting accuracy, and designing new models where the current approach leaves gaps. Identify new methodologies and external trends and adapt them to TA use cases, creating shareable frameworks that clarify when and how a new approach should be used. Collaborate across TA, People Analytics Research Team, Finance, and other stakeholders to share knowledge and build scalable, enterprise-ready solutions. Qualifications 8+ years of experience in People Analytics, including data science roles, with 5+ years supporting Talent Acquisition analytics. Proven experience partnering closely with Talent Acquisition leadership to maintain an end-to-end analytics roadmap, and leading cross-functional analytics initiatives involving multiple stakeholders across HR, technology, and business. Demonstrated expertise in building and interpreting hiring models, including predictive and forecast models, and applied experience with causal inference methods such as propensity score, difference-in-differences, or synthetic control, with clarity on when each applies. Advanced SQL and fluency in Python or R, with genuine hands-on comfort with data wrangling and analysis. Experience scoping and measuring AI-native experiences, with a clear approach to measurement at each stage of phased testing and rollout, and fluency in how model performance metrics connect to business outcomes. Proven ability to partner with senior leaders as an advisor, with the judgment to determine how much analysis a decision requires and the credibility to stand behind a recommendation. The judgment to connect hiring, attrition, and internal mobility signals into a single lifecycle view rather than treating TA analytics as a siloed function, and to know when a question calls for a deeper model versus a fast, directional read that unblocks a leadership decision. Experience working with Avature or other related ATS systems. Demonstrated ownership of data governance frameworks and data quality standards, including making an imperfect data source trustworthy and keeping it that way. Passion for enabling data-driven, equitable people processes that foster growth and inclusion. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $210,500 - $284,500
Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. We are looking for a strong Senior Staff Data Scientist to lead Talent Acquisition analytics strategy. As Talent Acquisition analytics has moved past descriptive reporting, this lead position will drive overall TA analytics strategy focusing on hiring forecasting, talent funnel conversion modeling, and defining and delivering AI-native use cases and prototypes across data & analytics. This role plays a key part in supporting major HR initiatives, including workforce planning and organizational effectiveness. This individual will build trust in TA's data, both in Avature and in the data lake, and translate that trust into a strategic understanding of the talent data ecosystem that strengthens TA's ability to meet business hiring needs and deliver on operational excellence. This is not purely a technical role. It requires the business acumen and leadership presence to connect insights across the full candidate and employee lifecycle - bringing hiring, attrition, and internal mobility together - and to operate as a trusted advisor to TA leadership, shaping the questions as well as answering them. It also means bringing an external lens into TA: benchmarking Intuit's hiring funnel, forecasting approach, and recruiter productivity against industry standards, so TA's methods keep pace with where the broader market is headed. Working across the broader People Analytics team, you will partner on Talent Acquisition data products, analytics, and models combining hands-on analysis with the advisory judgment to turn findings into decisions. Responsibilities Data & Analytics Roadmap Design & Execution Translate TA and business strategy into analytical problems, self-generating hypotheses from the data and validating or disproving them to produce recommendations that inform hiring and workforce decisions across multiple initiatives. Develop, maintain, and socialize the Talent Acquisition Data & Analytics roadmap, reflecting a prioritized inventory of the current and upcoming work, and drive the business case for the investments it implies. Define the metrics that hold TA and business leaders accountable for hiring strength and requisition governance, at the function level rather than the individual report level. Combine insights, business acumen, and strategic considerations to influence Director-level and above stakeholders, translating complex analysis into a narrative leaders will act on rather than simply report against. Connect insights across the candidate and employee lifecycle, bringing hiring, attrition, and internal mobility together into a single view. Bring external analytics benchmarking and TA industry best practices into Intuit, so forecasting, funnel, and recruiter-productivity work is informed by where the broader market and competitors are heading, not only by internal history. Strategy and Measurement for AI-Native Experiences Ideate and scope AI use cases within Talent Acquisition by connecting industry-wide developments in AI with strategic insight, customer knowledge, and TA domain knowledge, from ideation through measurement. Influence cross-functional partners in creating a development plan for those use cases, and define success metrics that connect model performance to hiring and business outcomes. Provide thought partnership on phased testing and rollout of AI-native experiences, with the right measurement in place at each stage. Drive requirements for scaled solutions including automated insights, dashboards, and reporting that support TA leadership, recruiters, HR, and Finance. Own TA's data governance framework across Avature and the data lake, ensuring data quality, cleanliness, and readiness for AI and advanced analytics. Inference and Algorithms Build and evolve hiring forecast and funnel conversion models, applying predictive and causal inference techniques to identify trends, friction points, and opportunities to improve hiring outcomes. Manage the end-to-end aspects of complex analytics model builds, from scope and requirements through stakeholder management and delivery, for work that drives function-level decisions. Partner on recruiter capacity and productivity analytics, bringing recommendations that sharpen capacity planning and target-setting accuracy, and designing new models where the current approach leaves gaps. Identify new methodologies and external trends and adapt them to TA use cases, creating shareable frameworks that clarify when and how a new approach should be used. Collaborate across TA, People Analytics Research Team, Finance, and other stakeholders to share knowledge and build scalable, enterprise-ready solutions. Qualifications 8+ years of experience in People Analytics, including data science roles, with 5+ years supporting Talent Acquisition analytics. Proven experience partnering closely with Talent Acquisition leadership to maintain an end-to-end analytics roadmap, and leading cross-functional analytics initiatives involving multiple stakeholders across HR, technology, and business. Demonstrated expertise in building and interpreting hiring models, including predictive and forecast models, and applied experience with causal inference methods such as propensity score, difference-in-differences, or synthetic control, with clarity on when each applies. Advanced SQL and fluency in Python or R, with genuine hands-on comfort with data wrangling and analysis. Experience scoping and measuring AI-native experiences, with a clear approach to measurement at each stage of phased testing and rollout, and fluency in how model performance metrics connect to business outcomes. Proven ability to partner with senior leaders as an advisor, with the judgment to determine how much analysis a decision requires and the credibility to stand behind a recommendation. The judgment to connect hiring, attrition, and internal mobility signals into a single lifecycle view rather than treating TA analytics as a siloed function, and to know when a question calls for a deeper model versus a fast, directional read that unblocks a leadership decision. Experience working with Avature or other related ATS systems. Demonstrated ownership of data governance frameworks and data quality standards, including making an imperfect data source trustworthy and keeping it that way. Passion for enabling data-driven, equitable people processes that foster growth and inclusion. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $210,500 - $284,500
Aug 26, 2026
Full time
Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. We are looking for a strong Senior Staff Data Scientist to lead Talent Acquisition analytics strategy. As Talent Acquisition analytics has moved past descriptive reporting, this lead position will drive overall TA analytics strategy focusing on hiring forecasting, talent funnel conversion modeling, and defining and delivering AI-native use cases and prototypes across data & analytics. This role plays a key part in supporting major HR initiatives, including workforce planning and organizational effectiveness. This individual will build trust in TA's data, both in Avature and in the data lake, and translate that trust into a strategic understanding of the talent data ecosystem that strengthens TA's ability to meet business hiring needs and deliver on operational excellence. This is not purely a technical role. It requires the business acumen and leadership presence to connect insights across the full candidate and employee lifecycle - bringing hiring, attrition, and internal mobility together - and to operate as a trusted advisor to TA leadership, shaping the questions as well as answering them. It also means bringing an external lens into TA: benchmarking Intuit's hiring funnel, forecasting approach, and recruiter productivity against industry standards, so TA's methods keep pace with where the broader market is headed. Working across the broader People Analytics team, you will partner on Talent Acquisition data products, analytics, and models combining hands-on analysis with the advisory judgment to turn findings into decisions. Responsibilities Data & Analytics Roadmap Design & Execution Translate TA and business strategy into analytical problems, self-generating hypotheses from the data and validating or disproving them to produce recommendations that inform hiring and workforce decisions across multiple initiatives. Develop, maintain, and socialize the Talent Acquisition Data & Analytics roadmap, reflecting a prioritized inventory of the current and upcoming work, and drive the business case for the investments it implies. Define the metrics that hold TA and business leaders accountable for hiring strength and requisition governance, at the function level rather than the individual report level. Combine insights, business acumen, and strategic considerations to influence Director-level and above stakeholders, translating complex analysis into a narrative leaders will act on rather than simply report against. Connect insights across the candidate and employee lifecycle, bringing hiring, attrition, and internal mobility together into a single view. Bring external analytics benchmarking and TA industry best practices into Intuit, so forecasting, funnel, and recruiter-productivity work is informed by where the broader market and competitors are heading, not only by internal history. Strategy and Measurement for AI-Native Experiences Ideate and scope AI use cases within Talent Acquisition by connecting industry-wide developments in AI with strategic insight, customer knowledge, and TA domain knowledge, from ideation through measurement. Influence cross-functional partners in creating a development plan for those use cases, and define success metrics that connect model performance to hiring and business outcomes. Provide thought partnership on phased testing and rollout of AI-native experiences, with the right measurement in place at each stage. Drive requirements for scaled solutions including automated insights, dashboards, and reporting that support TA leadership, recruiters, HR, and Finance. Own TA's data governance framework across Avature and the data lake, ensuring data quality, cleanliness, and readiness for AI and advanced analytics. Inference and Algorithms Build and evolve hiring forecast and funnel conversion models, applying predictive and causal inference techniques to identify trends, friction points, and opportunities to improve hiring outcomes. Manage the end-to-end aspects of complex analytics model builds, from scope and requirements through stakeholder management and delivery, for work that drives function-level decisions. Partner on recruiter capacity and productivity analytics, bringing recommendations that sharpen capacity planning and target-setting accuracy, and designing new models where the current approach leaves gaps. Identify new methodologies and external trends and adapt them to TA use cases, creating shareable frameworks that clarify when and how a new approach should be used. Collaborate across TA, People Analytics Research Team, Finance, and other stakeholders to share knowledge and build scalable, enterprise-ready solutions. Qualifications 8+ years of experience in People Analytics, including data science roles, with 5+ years supporting Talent Acquisition analytics. Proven experience partnering closely with Talent Acquisition leadership to maintain an end-to-end analytics roadmap, and leading cross-functional analytics initiatives involving multiple stakeholders across HR, technology, and business. Demonstrated expertise in building and interpreting hiring models, including predictive and forecast models, and applied experience with causal inference methods such as propensity score, difference-in-differences, or synthetic control, with clarity on when each applies. Advanced SQL and fluency in Python or R, with genuine hands-on comfort with data wrangling and analysis. Experience scoping and measuring AI-native experiences, with a clear approach to measurement at each stage of phased testing and rollout, and fluency in how model performance metrics connect to business outcomes. Proven ability to partner with senior leaders as an advisor, with the judgment to determine how much analysis a decision requires and the credibility to stand behind a recommendation. The judgment to connect hiring, attrition, and internal mobility signals into a single lifecycle view rather than treating TA analytics as a siloed function, and to know when a question calls for a deeper model versus a fast, directional read that unblocks a leadership decision. Experience working with Avature or other related ATS systems. Demonstrated ownership of data governance frameworks and data quality standards, including making an imperfect data source trustworthy and keeping it that way. Passion for enabling data-driven, equitable people processes that foster growth and inclusion. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $210,500 - $284,500
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . Front is building a serious amount of software for itself. GTM Engineers are shipping internal tools and AI agents on top of Salesforce, Gong, Snowflake, Workato, Notion and Claude — automations that our revenue teams now depend on to do their jobs. That software needs somewhere reliable and secure to run. You'll decide how internal software at Front gets built, deployed, secured and operated — the standards, the reference architecture, the review bar — and then you'll implement them yourself and keep them alive as the estate grows. There is no separate team to hand a standards document to. Writing it and building it are the same job. We're hiring for opinions. If you've built a platform practice from nothing before and have views on what good looks like — where to put the guardrails, which conventions are worth enforcing, what to automate before it becomes a habit — we want to hear them in the interview, not after you start. Strong opinions include knowing when to adopt rather than invent: you'll partner closely with our product engineering org and take what already works there. Your users are other engineers, and your job is measured by how fast and safely they can move. You'll report into Corporate IT and work day to day alongside the GTM Systems, Data and product engineering teams whose tooling and engineers the platform depends on. What will you be doing? Define how we build and run internal software Set the standards for internal engineering at Front: how services are structured and deployed, how environments and secrets work, what gets logged, what 'production-ready' means for an internal tool. Write them down, and make the documented path the easiest path. Partner with our product engineering org and inherit their tooling, patterns and processes wherever they apply to internal platforms. Front already runs production software well — the goal is to extend that foundation to internal systems, not to build a second one. Diverge where internal systems genuinely differ, and be able to say why. Define the reference architecture for internal systems and the security requirements every internal tool has to meet before it touches governed data. Own the review bar. Decide what needs review, what can ship freely, and be the person who says no when something isn't ready — with a clear reason and a path forward. Keep the standards honest as things change. Revisit them when they cause friction, retire the ones that stopped earning their keep, and don't let the documentation drift from what's actually running. Bring your own opinions and build consensus for them across GTM Systems, Data, Enterprise Security and Legal. You'll need those teams to adopt what you define, which means persuading rather than mandating. Own the infrastructure Own the cloud infrastructure our internal tools and AI systems run on AWS & Snowflake: compute, networking, data stores, DNS, certificates. Define infrastructure as code and get us to the point where nothing meaningful is provisioned by hand. Manage state, modules, and drift. Own environments — production, staging and whatever local story we give engineers — and make them consistent enough that 'it worked in staging' means something. Run the observability stack: metrics, logs, traces and alerting that engineers can self-serve, and that tell you about a problem before a user does. Own platform cost. Right-size infrastructure and AI/warehouse consumption, attribute spend to the teams and tools driving it, and flag anomalies before they become finance conversations. [TBD: annual spend under management] Build the paved road Build and maintain CI/CD so GTM Engineers can ship without asking you: pipelines, test and scan gates, deploy and rollback. Provide golden paths — templates, base images, shared modules and libraries — so the standard way to build something is also the secure, observable, cost-sane way. Own secrets architecture: centralized storage, scoped short-lived credentials, and rotation that happens without a human remembering. Reduce toil through automation and self-service. Every request you make unnecessary is worth more than the one you fulfill. Secure the platform and the code that runs on it Own security of the infrastructure and SDLC for internal systems: IaC scanning, container and image hygiene, dependency and supply-chain scanning, secret detection, and CI/CD pipeline hardening. Harden cloud configuration against a defined baseline (CIS or equivalent), track drift, and remediate before someone else finds it. Run vulnerability management for platform infrastructure and internal application dependencies — scanning, triage, prioritization, patch coordination and verification against agreed SLAs. Be the security review on new infrastructure, integrations and AI tooling before they touch governed data, and keep an accurate inventory of what is connected to what. Design access and network boundaries so a compromised internal tool has a small blast radius. Enforce least privilege on the infrastructure layer. Respond when an incident touches your systems: containment, evidence preservation, and coordination with Enterprise Security, who own corporate detection and incident command. Own security monitoring/alerting across platform, integration layer and AI clients; build and tune detections for anomalous query patterns, unusual data egress, off-hours access, privilege escalation. Monitor audit logs from AI, Workato and the MCP layer and triaging signal from noise and build automations to trigger alerts. Define and implement Data loss prevention controls on paths where governed data leaves — including AI client responses and downstream exports. Compliance, incident response and RBAC Maintain and rehearse incident runbooks and tabletop exercises for named scenarios: leaked credentials, over-broad access grants, prompt-injection data disclosure, third-party integration compromise. Assist our GRC team with evidence collection for SOC 2, ISO, and any other relevant compliance frameworks. Scope reviews and access audits on a predictable cadence for MCP, Workato and AI client integrations. Respond to access requests and access incidents; removing standing access in favor of just-in-time. Partner with GTM Systems and Data teams to define access requirements for various data types across systems using RBAC, ABAC, or hybrid access control models. Partner with our internal IAM team to implement joiner-mover-leaver (JML) automations and leverage existing access governance tools for periodic access reviews. AI client layer Provide escalation support for troubleshooting MCP and tool integrations with our AI clients (Claude, ChatGPT, Notion, etc.). Maintain semantic layer configuration — tool definitions, schema descriptions, semantic views. Treat unauthorized exposure through an AI client as a security incident, not a bug. Root-causing data quality complaints. Keep it running, and keep engineers unblocked Operate the AI and data plumbing that internal tools consume — Workato recipes, MCP connectors, Snowflake access paths — and absorb upstream API and schema changes without downstream teams noticing. Serve as escalation point for platform problems, with clear triage, communication and resolution. Participate in on-call [TBD: confirm a rotation exists and who else is in it], and write postmortems with owned, dated follow-ups that you close out. Maintain runbooks and architecture documentation so the platform is operable and defensible by more than one person. Review other engineers' infrastructure and deployment changes, and raise the bar through that review. What skills and experience do you need? Required You've established a platform, DevOps or infrastructure practice somewhere it didn't exist — as a founding platform engineer, an early infra hire, or the person who dragged a team onto real standards. You can point at conventions still in use that you wrote. Deep hands-on experience running production infrastructure in a major cloud — networking, IAM, compute, and the failure modes of each. Infrastructure as code in production at scale: Terraform, Pulumi, CloudFormation or equivalent, including inheriting and refactoring someone else's modules. Owning CI/CD pipelines end to end, including test, scan and deploy gates. Containers and orchestration. Strong Python or Go for automation, tooling and debugging systems you didn't write. Practical infrastructure security: cloud configuration hardening, secrets management, dependency and vulnerability management, and least-privilege access design. Clear written communication, and the judgment to know when a standard should be enforced in a pipeline versus argued in a room. You'll be writing documentation engineers actually use and explaining risk to non-technical stakeholders. Strong SQL experience, ability to write queries within Snowflake and other BI tools. Hands-on security operations experience: log and audit analysis, alert triage, real incident response. Experience reviewing events within a SIEM. Experience with implementing and managing SAML/OIDC SSO and SCIM on internal-built tools and integrating such tools with identity providers such as Okta. Strong experience with secrets management, including OAuth, API, and JWT service account based integrations. Production iPaaS experience including repairing integrations you didn't write. Bias towards documentation — if you do something, write it down for others to reference. Nice to have Experience building an internal developer platform, or otherwise being on the team whose customers are other engineers. Experience operating LLM or agent infrastructure in production — MCP servers, RAG pipelines, semantic layers, or AI tooling connected to enterprise data. Familiarity with AI-specific security risks: prompt injection, tool-use abuse, data leakage through model context, and the controls that mitigate them. iPaaS or orchestration experience: Workato, Airflow, dbt, MuleSoft or similar. Detection engineering or SIEM exposure (Splunk, Panther, Datadog Security or similar). Snowflake or comparable cloud data warehouse operations, including cost and performance tuning. Background/experience supporting a GTM or revenue organization. Gong, HubSpot, Outreach or similar GTM tooling and their data models. Master data management, entity resolution, customer data platforms. Comfortable with pipeline, ARR and product-adoption metrics. What this role is not This is not primarily an internal tools building role. GTM Engineers build the tools. You build and secure what they run on. You'll write plenty of code — it's infrastructure, tooling and automation code. This is not a customer-facing product role. You won't be working on the Front product or its production infrastructure. This is not a research or model-training role. You won't be fine-tuning models or publishing papers. This is not a standards-on-paper role. You'll define the practices, but you also build them, enforce them in the pipeline, and operate what you've built. If you're looking for architecture or GRC work that hands off to an implementation team, this isn't it — there is no implementation team. This is not a role where you inherit someone else's playbook. We're not asking you to follow our standards. We're asking you to write them. How we'll measure success First 30 days You've mapped the estate: what runs where, who can reach it, what's provisioned by hand, and where the sharpest edges are. You've told us what you think is wrong with it and what you'd do differently. First 90 days A first version of our internal platform standards exists, is written down, and has buy-in from the teams who have to follow it. You've closed the top three risks you found. Core infrastructure is defined in code, secrets are centralized with a rotation cadence, and a GTM Engineer can deploy a new internal tool through a documented path without your involvement. Contractors have the option to work from our office on Tuesdays, Wednesdays, and Thursdays, when our teams are onsite. In-office attendance is optional and not required for this role. Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Aug 20, 2026
Full time
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . Front is building a serious amount of software for itself. GTM Engineers are shipping internal tools and AI agents on top of Salesforce, Gong, Snowflake, Workato, Notion and Claude — automations that our revenue teams now depend on to do their jobs. That software needs somewhere reliable and secure to run. You'll decide how internal software at Front gets built, deployed, secured and operated — the standards, the reference architecture, the review bar — and then you'll implement them yourself and keep them alive as the estate grows. There is no separate team to hand a standards document to. Writing it and building it are the same job. We're hiring for opinions. If you've built a platform practice from nothing before and have views on what good looks like — where to put the guardrails, which conventions are worth enforcing, what to automate before it becomes a habit — we want to hear them in the interview, not after you start. Strong opinions include knowing when to adopt rather than invent: you'll partner closely with our product engineering org and take what already works there. Your users are other engineers, and your job is measured by how fast and safely they can move. You'll report into Corporate IT and work day to day alongside the GTM Systems, Data and product engineering teams whose tooling and engineers the platform depends on. What will you be doing? Define how we build and run internal software Set the standards for internal engineering at Front: how services are structured and deployed, how environments and secrets work, what gets logged, what 'production-ready' means for an internal tool. Write them down, and make the documented path the easiest path. Partner with our product engineering org and inherit their tooling, patterns and processes wherever they apply to internal platforms. Front already runs production software well — the goal is to extend that foundation to internal systems, not to build a second one. Diverge where internal systems genuinely differ, and be able to say why. Define the reference architecture for internal systems and the security requirements every internal tool has to meet before it touches governed data. Own the review bar. Decide what needs review, what can ship freely, and be the person who says no when something isn't ready — with a clear reason and a path forward. Keep the standards honest as things change. Revisit them when they cause friction, retire the ones that stopped earning their keep, and don't let the documentation drift from what's actually running. Bring your own opinions and build consensus for them across GTM Systems, Data, Enterprise Security and Legal. You'll need those teams to adopt what you define, which means persuading rather than mandating. Own the infrastructure Own the cloud infrastructure our internal tools and AI systems run on AWS & Snowflake: compute, networking, data stores, DNS, certificates. Define infrastructure as code and get us to the point where nothing meaningful is provisioned by hand. Manage state, modules, and drift. Own environments — production, staging and whatever local story we give engineers — and make them consistent enough that 'it worked in staging' means something. Run the observability stack: metrics, logs, traces and alerting that engineers can self-serve, and that tell you about a problem before a user does. Own platform cost. Right-size infrastructure and AI/warehouse consumption, attribute spend to the teams and tools driving it, and flag anomalies before they become finance conversations. [TBD: annual spend under management] Build the paved road Build and maintain CI/CD so GTM Engineers can ship without asking you: pipelines, test and scan gates, deploy and rollback. Provide golden paths — templates, base images, shared modules and libraries — so the standard way to build something is also the secure, observable, cost-sane way. Own secrets architecture: centralized storage, scoped short-lived credentials, and rotation that happens without a human remembering. Reduce toil through automation and self-service. Every request you make unnecessary is worth more than the one you fulfill. Secure the platform and the code that runs on it Own security of the infrastructure and SDLC for internal systems: IaC scanning, container and image hygiene, dependency and supply-chain scanning, secret detection, and CI/CD pipeline hardening. Harden cloud configuration against a defined baseline (CIS or equivalent), track drift, and remediate before someone else finds it. Run vulnerability management for platform infrastructure and internal application dependencies — scanning, triage, prioritization, patch coordination and verification against agreed SLAs. Be the security review on new infrastructure, integrations and AI tooling before they touch governed data, and keep an accurate inventory of what is connected to what. Design access and network boundaries so a compromised internal tool has a small blast radius. Enforce least privilege on the infrastructure layer. Respond when an incident touches your systems: containment, evidence preservation, and coordination with Enterprise Security, who own corporate detection and incident command. Own security monitoring/alerting across platform, integration layer and AI clients; build and tune detections for anomalous query patterns, unusual data egress, off-hours access, privilege escalation. Monitor audit logs from AI, Workato and the MCP layer and triaging signal from noise and build automations to trigger alerts. Define and implement Data loss prevention controls on paths where governed data leaves — including AI client responses and downstream exports. Compliance, incident response and RBAC Maintain and rehearse incident runbooks and tabletop exercises for named scenarios: leaked credentials, over-broad access grants, prompt-injection data disclosure, third-party integration compromise. Assist our GRC team with evidence collection for SOC 2, ISO, and any other relevant compliance frameworks. Scope reviews and access audits on a predictable cadence for MCP, Workato and AI client integrations. Respond to access requests and access incidents; removing standing access in favor of just-in-time. Partner with GTM Systems and Data teams to define access requirements for various data types across systems using RBAC, ABAC, or hybrid access control models. Partner with our internal IAM team to implement joiner-mover-leaver (JML) automations and leverage existing access governance tools for periodic access reviews. AI client layer Provide escalation support for troubleshooting MCP and tool integrations with our AI clients (Claude, ChatGPT, Notion, etc.). Maintain semantic layer configuration — tool definitions, schema descriptions, semantic views. Treat unauthorized exposure through an AI client as a security incident, not a bug. Root-causing data quality complaints. Keep it running, and keep engineers unblocked Operate the AI and data plumbing that internal tools consume — Workato recipes, MCP connectors, Snowflake access paths — and absorb upstream API and schema changes without downstream teams noticing. Serve as escalation point for platform problems, with clear triage, communication and resolution. Participate in on-call [TBD: confirm a rotation exists and who else is in it], and write postmortems with owned, dated follow-ups that you close out. Maintain runbooks and architecture documentation so the platform is operable and defensible by more than one person. Review other engineers' infrastructure and deployment changes, and raise the bar through that review. What skills and experience do you need? Required You've established a platform, DevOps or infrastructure practice somewhere it didn't exist — as a founding platform engineer, an early infra hire, or the person who dragged a team onto real standards. You can point at conventions still in use that you wrote. Deep hands-on experience running production infrastructure in a major cloud — networking, IAM, compute, and the failure modes of each. Infrastructure as code in production at scale: Terraform, Pulumi, CloudFormation or equivalent, including inheriting and refactoring someone else's modules. Owning CI/CD pipelines end to end, including test, scan and deploy gates. Containers and orchestration. Strong Python or Go for automation, tooling and debugging systems you didn't write. Practical infrastructure security: cloud configuration hardening, secrets management, dependency and vulnerability management, and least-privilege access design. Clear written communication, and the judgment to know when a standard should be enforced in a pipeline versus argued in a room. You'll be writing documentation engineers actually use and explaining risk to non-technical stakeholders. Strong SQL experience, ability to write queries within Snowflake and other BI tools. Hands-on security operations experience: log and audit analysis, alert triage, real incident response. Experience reviewing events within a SIEM. Experience with implementing and managing SAML/OIDC SSO and SCIM on internal-built tools and integrating such tools with identity providers such as Okta. Strong experience with secrets management, including OAuth, API, and JWT service account based integrations. Production iPaaS experience including repairing integrations you didn't write. Bias towards documentation — if you do something, write it down for others to reference. Nice to have Experience building an internal developer platform, or otherwise being on the team whose customers are other engineers. Experience operating LLM or agent infrastructure in production — MCP servers, RAG pipelines, semantic layers, or AI tooling connected to enterprise data. Familiarity with AI-specific security risks: prompt injection, tool-use abuse, data leakage through model context, and the controls that mitigate them. iPaaS or orchestration experience: Workato, Airflow, dbt, MuleSoft or similar. Detection engineering or SIEM exposure (Splunk, Panther, Datadog Security or similar). Snowflake or comparable cloud data warehouse operations, including cost and performance tuning. Background/experience supporting a GTM or revenue organization. Gong, HubSpot, Outreach or similar GTM tooling and their data models. Master data management, entity resolution, customer data platforms. Comfortable with pipeline, ARR and product-adoption metrics. What this role is not This is not primarily an internal tools building role. GTM Engineers build the tools. You build and secure what they run on. You'll write plenty of code — it's infrastructure, tooling and automation code. This is not a customer-facing product role. You won't be working on the Front product or its production infrastructure. This is not a research or model-training role. You won't be fine-tuning models or publishing papers. This is not a standards-on-paper role. You'll define the practices, but you also build them, enforce them in the pipeline, and operate what you've built. If you're looking for architecture or GRC work that hands off to an implementation team, this isn't it — there is no implementation team. This is not a role where you inherit someone else's playbook. We're not asking you to follow our standards. We're asking you to write them. How we'll measure success First 30 days You've mapped the estate: what runs where, who can reach it, what's provisioned by hand, and where the sharpest edges are. You've told us what you think is wrong with it and what you'd do differently. First 90 days A first version of our internal platform standards exists, is written down, and has buy-in from the teams who have to follow it. You've closed the top three risks you found. Core infrastructure is defined in code, secrets are centralized with a rotation cadence, and a GTM Engineer can deploy a new internal tool through a documented path without your involvement. Contractors have the option to work from our office on Tuesdays, Wednesdays, and Thursdays, when our teams are onsite. In-office attendance is optional and not required for this role. Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The Core AI team at Front leverages AI to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale. What will you be doing? Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on agentic applications to automate resolving user inquiries. Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities. Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends. Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency. Dive deep into real-world data, ensuring high-quality model training and iteration Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards. Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate. What skills and experience do you need? Must Have: 5+ years of experience in software development, with a strong focus on AI and machine learning projects. Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies. Strong experience with agentic methodologies, prompting techniques, RAG pipelines, evaluation mechanisms and fine-tuning LLMs preferred. High learning agility - you’re excited when you encounter a problem you haven’t seen before. Strong communication skills that illustrate a clear, structured thought process. Should Have: Excellent problem-solving abilities and the capacity to work both independently and as part of a team. Proficiency building production-grade web applications and demonstrated expertise in languages and concepts necessary to deliver these. Eg: Python, JS, TS, Database systems, etc. Strong communication skills, capable of explaining complex technical concepts to non-experts. Deep knowledge of algorithms, data structures, and principles of software engineering. Nice to Have: Knowledge in specialized machine learning areas (deep learning, reinforcement learning). Experience in SaaS or multiplayer application machine learning implementations. Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Aug 19, 2026
Full time
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The Core AI team at Front leverages AI to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale. What will you be doing? Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on agentic applications to automate resolving user inquiries. Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities. Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends. Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency. Dive deep into real-world data, ensuring high-quality model training and iteration Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards. Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate. What skills and experience do you need? Must Have: 5+ years of experience in software development, with a strong focus on AI and machine learning projects. Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies. Strong experience with agentic methodologies, prompting techniques, RAG pipelines, evaluation mechanisms and fine-tuning LLMs preferred. High learning agility - you’re excited when you encounter a problem you haven’t seen before. Strong communication skills that illustrate a clear, structured thought process. Should Have: Excellent problem-solving abilities and the capacity to work both independently and as part of a team. Proficiency building production-grade web applications and demonstrated expertise in languages and concepts necessary to deliver these. Eg: Python, JS, TS, Database systems, etc. Strong communication skills, capable of explaining complex technical concepts to non-experts. Deep knowledge of algorithms, data structures, and principles of software engineering. Nice to Have: Knowledge in specialized machine learning areas (deep learning, reinforcement learning). Experience in SaaS or multiplayer application machine learning implementations. Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a “builder” mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. Come join the team and get involved in building the next-generation Change Management platform for Intuit. The Change Management team builds the platform that makes production change at Intuit safe, fast, and observable. We own the Change Management Service (CMS) and the experiences developers rely on to ship with confidence. Our work sits at the intersection of developer productivity and operational reliability: every change that moves through Intuit's paved roads touches something we build. Responsibilities Own the technical direction and low-level design for core Change Management platform services, setting patterns other engineers build on. Champion contract stability across producers and consumers — establish integration tests and guardrails so breaking changes are caught before they cause downstream incidents. Operate as a senior technical voice in design reviews, cross-team interlocks, and incident retrospectives, and mentor engineers across the team. Use your coding expertise to design and implement scalable, modular, and secure services and infrastructure, providing reliability solutions to all of Intuit. Work as part of a fast-paced scrum team with accountability and extreme ownership. Develop, test, and deploy your own code. Integrate Agentic workflows into backend and front-end services. Qualifications 8+ years of software engineering experience building and operating production platform or infrastructure services at scale. Deep expertise in a modern backend stack (Go Preferred) and in designing resilient, well-instrumented distributed systems and APIs. Deep expertise in Front end stack (React preferred). A strong track record designing platform integrations and managing API contracts, versioning, and backward compatibility across many consuming teams. Hands-on experience with CI/CD and progressive delivery (Argo CD, canary/blue-green rollouts) and with cloud-native infrastructure (AWS, Kubernetes). Fluency in operational excellence — observability, on-call, incident response, and using production signal to drive reliability improvements. Demonstrated technical leadership: driving cross-team alignment, influencing without authority, and raising the engineering bar through design and mentorship. Excellent written and verbal communication, and the judgment to balance delivery speed against long-term platform health. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $202,500 - $274,000
Aug 19, 2026
Full time
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a “builder” mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. Come join the team and get involved in building the next-generation Change Management platform for Intuit. The Change Management team builds the platform that makes production change at Intuit safe, fast, and observable. We own the Change Management Service (CMS) and the experiences developers rely on to ship with confidence. Our work sits at the intersection of developer productivity and operational reliability: every change that moves through Intuit's paved roads touches something we build. Responsibilities Own the technical direction and low-level design for core Change Management platform services, setting patterns other engineers build on. Champion contract stability across producers and consumers — establish integration tests and guardrails so breaking changes are caught before they cause downstream incidents. Operate as a senior technical voice in design reviews, cross-team interlocks, and incident retrospectives, and mentor engineers across the team. Use your coding expertise to design and implement scalable, modular, and secure services and infrastructure, providing reliability solutions to all of Intuit. Work as part of a fast-paced scrum team with accountability and extreme ownership. Develop, test, and deploy your own code. Integrate Agentic workflows into backend and front-end services. Qualifications 8+ years of software engineering experience building and operating production platform or infrastructure services at scale. Deep expertise in a modern backend stack (Go Preferred) and in designing resilient, well-instrumented distributed systems and APIs. Deep expertise in Front end stack (React preferred). A strong track record designing platform integrations and managing API contracts, versioning, and backward compatibility across many consuming teams. Hands-on experience with CI/CD and progressive delivery (Argo CD, canary/blue-green rollouts) and with cloud-native infrastructure (AWS, Kubernetes). Fluency in operational excellence — observability, on-call, incident response, and using production signal to drive reliability improvements. Demonstrated technical leadership: driving cross-team alignment, influencing without authority, and raising the engineering bar through design and mentorship. Excellent written and verbal communication, and the judgment to balance delivery speed against long-term platform health. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $202,500 - $274,000
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a “builder” mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. Come join the team and get involved in building the next-generation Change Management platform for Intuit. The Change Management team builds the platform that makes production change at Intuit safe, fast, and observable. We own the Change Management Service (CMS) and the experiences developers rely on to ship with confidence. Our work sits at the intersection of developer productivity and operational reliability: every change that moves through Intuit's paved roads touches something we build. Responsibilities Own the technical direction and low-level design for core Change Management platform services, setting patterns other engineers build on. Champion contract stability across producers and consumers — establish integration tests and guardrails so breaking changes are caught before they cause downstream incidents. Operate as a senior technical voice in design reviews, cross-team interlocks, and incident retrospectives, and mentor engineers across the team. Use your coding expertise to design and implement scalable, modular, and secure services and infrastructure, providing reliability solutions to all of Intuit. Work as part of a fast-paced scrum team with accountability and extreme ownership. Develop, test, and deploy your own code. Integrate Agentic workflows into backend and front-end services. Qualifications 8+ years of software engineering experience building and operating production platform or infrastructure services at scale. Deep expertise in a modern backend stack (Go Preferred) and in designing resilient, well-instrumented distributed systems and APIs. Deep expertise in Front end stack (React preferred). A strong track record designing platform integrations and managing API contracts, versioning, and backward compatibility across many consuming teams. Hands-on experience with CI/CD and progressive delivery (Argo CD, canary/blue-green rollouts) and with cloud-native infrastructure (AWS, Kubernetes). Fluency in operational excellence — observability, on-call, incident response, and using production signal to drive reliability improvements. Demonstrated technical leadership: driving cross-team alignment, influencing without authority, and raising the engineering bar through design and mentorship. Excellent written and verbal communication, and the judgment to balance delivery speed against long-term platform health. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $202,500 - $274,000
Aug 19, 2026
Full time
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a “builder” mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. Come join the team and get involved in building the next-generation Change Management platform for Intuit. The Change Management team builds the platform that makes production change at Intuit safe, fast, and observable. We own the Change Management Service (CMS) and the experiences developers rely on to ship with confidence. Our work sits at the intersection of developer productivity and operational reliability: every change that moves through Intuit's paved roads touches something we build. Responsibilities Own the technical direction and low-level design for core Change Management platform services, setting patterns other engineers build on. Champion contract stability across producers and consumers — establish integration tests and guardrails so breaking changes are caught before they cause downstream incidents. Operate as a senior technical voice in design reviews, cross-team interlocks, and incident retrospectives, and mentor engineers across the team. Use your coding expertise to design and implement scalable, modular, and secure services and infrastructure, providing reliability solutions to all of Intuit. Work as part of a fast-paced scrum team with accountability and extreme ownership. Develop, test, and deploy your own code. Integrate Agentic workflows into backend and front-end services. Qualifications 8+ years of software engineering experience building and operating production platform or infrastructure services at scale. Deep expertise in a modern backend stack (Go Preferred) and in designing resilient, well-instrumented distributed systems and APIs. Deep expertise in Front end stack (React preferred). A strong track record designing platform integrations and managing API contracts, versioning, and backward compatibility across many consuming teams. Hands-on experience with CI/CD and progressive delivery (Argo CD, canary/blue-green rollouts) and with cloud-native infrastructure (AWS, Kubernetes). Fluency in operational excellence — observability, on-call, incident response, and using production signal to drive reliability improvements. Demonstrated technical leadership: driving cross-team alignment, influencing without authority, and raising the engineering bar through design and mentorship. Excellent written and verbal communication, and the judgment to balance delivery speed against long-term platform health. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $202,500 - $274,000
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . The Core Product Experience (CPX) team owns and elevates the heart of the Front application — the inbox and adjacent surfaces where frontline users triage and route conversations, collaborate with teammates, and craft high-quality replies. CPX's mission is to ensure that frontline and admin users can work more efficiently, with higher quality, and a happier day-to-day experience. The team's scope is broad, spanning everything from core inbox functionality (inboxes, message list, composer) to newer surfaces like calendar and contacts. CPX partners closely with Client Platform, AI, and other pods across Engineering to deliver cohesive, high-impact experiences. As Front continues to invest in AI-powered workflows, CPX is at the center of the product strategy. We're looking for a Senior Fullstack Software Engineer with strong product and design sensibilities to help lead this work. You'll build and evolve the surfaces that the vast majority of Front interactions pass through — the inbox, messages, and composer — along with the services and systems that power them, driving projects that directly improve speed, quality, and usability for thousands of customers. This is not a 'build to spec' role. We want a senior engineer who helps shape what we build and why, leads delivery through ambiguity, and sets a high bar for engineering craft. You will work closely with Product and Design to define solutions, work through scope, risks, and open questions, make thoughtful tradeoffs, and ship experiences that are technically excellent and delightful to use. What will you be doing? Lead end-to-end delivery of high-impact, complex initiatives. Own technical execution from problem framing and scoping through implementation, launch, and iteration — across Front's client-side surfaces (Web, Desktop via Electron, and Mobile) and the backend services, APIs, and data systems behind them. Drive decisions and deliver reliably and on time. Drive technical direction across the stack. Influence architecture, state management, API design, and performance strategy for high-traffic, distributed workflows like inbox triage, message rendering, and composition — reasoning across systems, services, and stacks to make sound tradeoffs. Champion UX craft and product thinking. Hold a high bar for interaction details, accessibility, and polish. Advocate for the user and improve experiences based on feedback and metrics. Partner deeply with Product and Design. Collaborate early to shape requirements, identify risks, surface open questions, propose alternatives, and align on tradeoffs. Communicate clearly and proactively with cross-functional stakeholders. Raise the bar for quality and maintainability. Improve testing, observability, and engineering standards across frontend and backend. Reduce regressions and enable faster iteration through better tooling and code health. Grow others and strengthen the team. Give and receive feedback well, provide mentorship and constructive code review, share best practices, and help create a collaborative, low-ego engineering culture. What skills and experience do you need? Strong fullstack experience, comfortable working across systems, stacks, and distributed systems rather than a single layer. A track record of leading projects and delivering complex work in a timely manner — driving decisions and working through ambiguity end to end. Experience collaborating closely with Product and Design to work through scope, risks, and open questions before and during delivery. Ability to give and receive feedback constructively. An agile, scrappy mindset — comfortable learning new technologies, adapting quickly, and doing what it takes to ship when the situation calls for it. Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Aug 05, 2026
Full time
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . The Core Product Experience (CPX) team owns and elevates the heart of the Front application — the inbox and adjacent surfaces where frontline users triage and route conversations, collaborate with teammates, and craft high-quality replies. CPX's mission is to ensure that frontline and admin users can work more efficiently, with higher quality, and a happier day-to-day experience. The team's scope is broad, spanning everything from core inbox functionality (inboxes, message list, composer) to newer surfaces like calendar and contacts. CPX partners closely with Client Platform, AI, and other pods across Engineering to deliver cohesive, high-impact experiences. As Front continues to invest in AI-powered workflows, CPX is at the center of the product strategy. We're looking for a Senior Fullstack Software Engineer with strong product and design sensibilities to help lead this work. You'll build and evolve the surfaces that the vast majority of Front interactions pass through — the inbox, messages, and composer — along with the services and systems that power them, driving projects that directly improve speed, quality, and usability for thousands of customers. This is not a 'build to spec' role. We want a senior engineer who helps shape what we build and why, leads delivery through ambiguity, and sets a high bar for engineering craft. You will work closely with Product and Design to define solutions, work through scope, risks, and open questions, make thoughtful tradeoffs, and ship experiences that are technically excellent and delightful to use. What will you be doing? Lead end-to-end delivery of high-impact, complex initiatives. Own technical execution from problem framing and scoping through implementation, launch, and iteration — across Front's client-side surfaces (Web, Desktop via Electron, and Mobile) and the backend services, APIs, and data systems behind them. Drive decisions and deliver reliably and on time. Drive technical direction across the stack. Influence architecture, state management, API design, and performance strategy for high-traffic, distributed workflows like inbox triage, message rendering, and composition — reasoning across systems, services, and stacks to make sound tradeoffs. Champion UX craft and product thinking. Hold a high bar for interaction details, accessibility, and polish. Advocate for the user and improve experiences based on feedback and metrics. Partner deeply with Product and Design. Collaborate early to shape requirements, identify risks, surface open questions, propose alternatives, and align on tradeoffs. Communicate clearly and proactively with cross-functional stakeholders. Raise the bar for quality and maintainability. Improve testing, observability, and engineering standards across frontend and backend. Reduce regressions and enable faster iteration through better tooling and code health. Grow others and strengthen the team. Give and receive feedback well, provide mentorship and constructive code review, share best practices, and help create a collaborative, low-ego engineering culture. What skills and experience do you need? Strong fullstack experience, comfortable working across systems, stacks, and distributed systems rather than a single layer. A track record of leading projects and delivering complex work in a timely manner — driving decisions and working through ambiguity end to end. Experience collaborating closely with Product and Design to work through scope, risks, and open questions before and during delivery. Ability to give and receive feedback constructively. An agile, scrappy mindset — comfortable learning new technologies, adapting quickly, and doing what it takes to ship when the situation calls for it. Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . We're looking for two experienced backend Software Engineers to join our Deliverability team in San Francisco. This team is responsible for the core systems that power Front - the pipeline that connects Front to the external world - which process tens of millions of events delivering emails, SMS, and other messages to and from Front quickly and reliably. You'll own critical infrastructure that our customers depend on and take on a technical leadership role within the team, building upon our deliverability systems that need to be performant, scalable and reliable, all at once. What will you be doing? Serve as a technical lead on the Deliverability team, driving the architecture and execution of major infrastructure and product projects Own and improve high-volume email infrastructure and decisioning systems spanning ingestion, routing, and outbound delivery, driving deliverability outcomes at scale Own key services that power Front and lead architectural evolutions to build for reliability and scale Collaborate with other systems and infrastructure teams to build upon next-generation architecture Collaborate closely with product managers, product designers and other engineers to conceptualize, build, and test new product features What skills and experience do you need? 5+ years of professional software engineering experience Strong experience building and operating high-scale, distributed backend systems Comfort owning complex systems and making architectural decisions with real production impact A collaborative, low-ego approach to engineering and cross-team partnerships Experience with on-call responsibilities and a strong sense of ownership over system reliability Product mindset, building scalable and extensible solutions that meet customer requirements Fluency in a dynamic language like Javascript (Typescript), Python, Ruby, or similar Strong track record of launching and delivering projects of significant complexity and high level of ambiguity Experience architecting, deploying and operating asynchronous work queues, high-volume storage systems, or high-throughput systems Understand the trade-offs in employing different engineering solutions to a problem, valuing pragmatism over idealism Ability to thrive in a dynamic, fast-paced, collaborative, and high-growth environment Nice to have - Prior experience at a B2B SaaS or customer communications company Familiarity with email sending at high volume (millions of messages/day) Experience with DNS infrastructure Experience working on software systems built on Amazon Web Services Deep knowledge of the email stack and assorted RFCs Experience with anti-spam infrastructure to prevent bad actors from exploiting an email service Built deep integrations with an email delivery service like SendGrid, MailGun, Mandrill or SparkPost Experience with Gmail or Office 365 APIs Experience with Kafka Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Aug 04, 2026
Full time
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . We're looking for two experienced backend Software Engineers to join our Deliverability team in San Francisco. This team is responsible for the core systems that power Front - the pipeline that connects Front to the external world - which process tens of millions of events delivering emails, SMS, and other messages to and from Front quickly and reliably. You'll own critical infrastructure that our customers depend on and take on a technical leadership role within the team, building upon our deliverability systems that need to be performant, scalable and reliable, all at once. What will you be doing? Serve as a technical lead on the Deliverability team, driving the architecture and execution of major infrastructure and product projects Own and improve high-volume email infrastructure and decisioning systems spanning ingestion, routing, and outbound delivery, driving deliverability outcomes at scale Own key services that power Front and lead architectural evolutions to build for reliability and scale Collaborate with other systems and infrastructure teams to build upon next-generation architecture Collaborate closely with product managers, product designers and other engineers to conceptualize, build, and test new product features What skills and experience do you need? 5+ years of professional software engineering experience Strong experience building and operating high-scale, distributed backend systems Comfort owning complex systems and making architectural decisions with real production impact A collaborative, low-ego approach to engineering and cross-team partnerships Experience with on-call responsibilities and a strong sense of ownership over system reliability Product mindset, building scalable and extensible solutions that meet customer requirements Fluency in a dynamic language like Javascript (Typescript), Python, Ruby, or similar Strong track record of launching and delivering projects of significant complexity and high level of ambiguity Experience architecting, deploying and operating asynchronous work queues, high-volume storage systems, or high-throughput systems Understand the trade-offs in employing different engineering solutions to a problem, valuing pragmatism over idealism Ability to thrive in a dynamic, fast-paced, collaborative, and high-growth environment Nice to have - Prior experience at a B2B SaaS or customer communications company Familiarity with email sending at high volume (millions of messages/day) Experience with DNS infrastructure Experience working on software systems built on Amazon Web Services Deep knowledge of the email stack and assorted RFCs Experience with anti-spam infrastructure to prevent bad actors from exploiting an email service Built deep integrations with an email delivery service like SendGrid, MailGun, Mandrill or SparkPost Experience with Gmail or Office 365 APIs Experience with Kafka Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . Front’s Data team builds the analytics infrastructure that powers decision-making across the company — from product insights to GTM performance. We’re looking for a Staff Data Engineer to own critical parts of that platform end-to-end: designing scalable pipelines and data models, raising the bar on reliability and data quality, and enabling self-serve data access for teams across Front. This is a high-impact role for someone who loves turning complex, messy inputs into trusted datasets, and who can partner closely with analysts, data scientists, and product stakeholders to deliver data systems that are fast, secure, and built to last. You’ll thrive here if you’re hands-on, pragmatic, and excited to set technical direction while still shipping. What will you be doing? Architect data pipelines that provide fast, optimized, and robust end-to-end solutions for internal users of the analytics infrastructure Automate manual processes and create a platform in favor of self-service data consumption Own the quality of our analytics data and ensure the Data Team’s SLAs are met on a timely basis Design data schemas and fine-tune queries around large, complex data sets Interface with data scientists, analysts, and non-data stakeholders to understand their needs and promote best data practices Keep our data available and secure across multiple data centers and regions Implement a robust monitoring & logging framework that guarantees traceability and audibility Vet tools and technologies for the most viable solution for each problem at hand, and manage tools and data vendors involved Bring strong AI fluency to how you build and operate — using AI tools thoughtfully to accelerate development, improve quality, and unlock new approaches to data reliability and automation What skills and experience do you need? BS/BA in Computer Science, Mathematics, or a relevant technical field (or equivalent practical experience) At least 5 years of experience as a Data Engineer, or in a role with deep ETL expertise Experience managing a Snowflake data warehouse Strong programming fundamentals, with an ability to write modular, maintainable code Advanced SQL and Python skills and strong comfort working with large datasets Working knowledge of at least one big data technology (HDFS, EMR, Redshift, Spark, Flink, or Presto) Experience with workflow management tools (preferably Airflow) A proactive, service-oriented mindset with a “can-do” approach and positive attitude Strong ability to manage multiple projects/tasks across multiple stakeholders Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Jul 24, 2026
Full time
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . Front’s Data team builds the analytics infrastructure that powers decision-making across the company — from product insights to GTM performance. We’re looking for a Staff Data Engineer to own critical parts of that platform end-to-end: designing scalable pipelines and data models, raising the bar on reliability and data quality, and enabling self-serve data access for teams across Front. This is a high-impact role for someone who loves turning complex, messy inputs into trusted datasets, and who can partner closely with analysts, data scientists, and product stakeholders to deliver data systems that are fast, secure, and built to last. You’ll thrive here if you’re hands-on, pragmatic, and excited to set technical direction while still shipping. What will you be doing? Architect data pipelines that provide fast, optimized, and robust end-to-end solutions for internal users of the analytics infrastructure Automate manual processes and create a platform in favor of self-service data consumption Own the quality of our analytics data and ensure the Data Team’s SLAs are met on a timely basis Design data schemas and fine-tune queries around large, complex data sets Interface with data scientists, analysts, and non-data stakeholders to understand their needs and promote best data practices Keep our data available and secure across multiple data centers and regions Implement a robust monitoring & logging framework that guarantees traceability and audibility Vet tools and technologies for the most viable solution for each problem at hand, and manage tools and data vendors involved Bring strong AI fluency to how you build and operate — using AI tools thoughtfully to accelerate development, improve quality, and unlock new approaches to data reliability and automation What skills and experience do you need? BS/BA in Computer Science, Mathematics, or a relevant technical field (or equivalent practical experience) At least 5 years of experience as a Data Engineer, or in a role with deep ETL expertise Experience managing a Snowflake data warehouse Strong programming fundamentals, with an ability to write modular, maintainable code Advanced SQL and Python skills and strong comfort working with large datasets Working knowledge of at least one big data technology (HDFS, EMR, Redshift, Spark, Flink, or Presto) Experience with workflow management tools (preferably Airflow) A proactive, service-oriented mindset with a “can-do” approach and positive attitude Strong ability to manage multiple projects/tasks across multiple stakeholders Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
The role / impact In this role, you will help shape the technical foundation for money movement capabilities while unlocking new product lines globally. You will guide the design and development of reliable, scalable, performant, and secure services for the platform, ensuring operational excellence and direct business outcomes. This is a rare chance to join an early-stage initiative, make foundational architectural decisions, and have a visible impact on the future of small businesses. By contributing directly to production code and proof-of-concepts, you will solve complex financial technology challenges at a massive scale. The team / how they connect The Payments Platform team is the engine powering money movement across the entire ecosystem, collaborating closely with product, security, risk, and operations. We are a highly collaborative collective that values technical excellence, inclusion, and continuous innovation. Together, we work cross-functionally to translate complex business needs into resilient engineering solutions that support millions of subscribers. The team is currently working on / Initially, you will focus on Designing and building out payment platform capabilities, such as orchestration, risks & fraud, multi-providers, to accelerate various payment products development and improve operational posture Building out a global bill payment product to streamline how small businesses manage their cash flow Developing core high-throughput platform services Integrating and championing artificial intelligence capabilities to accelerate engineering productivity and enhance developer workflows Where and how you can work We support a hybrid working model that blends the flexibility of working from home with the collaboration of being in the office. You will spend time connecting with your team in our modern office spaces on designated boost days, balancing focused independent work with in-person connection. Here are some of the things we are looking for You bring a proven track record of delivering highly available, distributed backend systems and designing high-throughput services under real-world constraints A deep understanding of system architecture, API design, and both SQL and NoSQL databases is essential Your background includes proficiency in modern backend stacks such as C#, Java, Golang, or C++, alongside cloud-native platforms like AWS You are passionate about staying hands-on contributing directly to production code, proof-of-concepts, and technical deep dives. You possess strong leadership capabilities, with a passion for setting technical direction, mentoring engineers, and fostering an inclusive culture You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results. You are a strong partner to Product, Design, and other cross-functional teams to translate complex business needs into resilient engineering solutions. You are a champion of advanced usage in AI tools and practices across the team to accelerate development workflows. **This position is not eligible for employment visa sponsorship. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: California: $206K - $258K USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Jul 14, 2026
Full time
The role / impact In this role, you will help shape the technical foundation for money movement capabilities while unlocking new product lines globally. You will guide the design and development of reliable, scalable, performant, and secure services for the platform, ensuring operational excellence and direct business outcomes. This is a rare chance to join an early-stage initiative, make foundational architectural decisions, and have a visible impact on the future of small businesses. By contributing directly to production code and proof-of-concepts, you will solve complex financial technology challenges at a massive scale. The team / how they connect The Payments Platform team is the engine powering money movement across the entire ecosystem, collaborating closely with product, security, risk, and operations. We are a highly collaborative collective that values technical excellence, inclusion, and continuous innovation. Together, we work cross-functionally to translate complex business needs into resilient engineering solutions that support millions of subscribers. The team is currently working on / Initially, you will focus on Designing and building out payment platform capabilities, such as orchestration, risks & fraud, multi-providers, to accelerate various payment products development and improve operational posture Building out a global bill payment product to streamline how small businesses manage their cash flow Developing core high-throughput platform services Integrating and championing artificial intelligence capabilities to accelerate engineering productivity and enhance developer workflows Where and how you can work We support a hybrid working model that blends the flexibility of working from home with the collaboration of being in the office. You will spend time connecting with your team in our modern office spaces on designated boost days, balancing focused independent work with in-person connection. Here are some of the things we are looking for You bring a proven track record of delivering highly available, distributed backend systems and designing high-throughput services under real-world constraints A deep understanding of system architecture, API design, and both SQL and NoSQL databases is essential Your background includes proficiency in modern backend stacks such as C#, Java, Golang, or C++, alongside cloud-native platforms like AWS You are passionate about staying hands-on contributing directly to production code, proof-of-concepts, and technical deep dives. You possess strong leadership capabilities, with a passion for setting technical direction, mentoring engineers, and fostering an inclusive culture You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results. You are a strong partner to Product, Design, and other cross-functional teams to translate complex business needs into resilient engineering solutions. You are a champion of advanced usage in AI tools and practices across the team to accelerate development workflows. **This position is not eligible for employment visa sponsorship. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: California: $206K - $258K USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
The role / impact In this role, you will help shape the technical foundation for money movement capabilities while unlocking new product lines globally. You will guide the design and development of reliable, scalable, performant, and secure services for the platform, ensuring operational excellence and direct business outcomes. This is a rare chance to join an early-stage initiative, make foundational architectural decisions, and have a visible impact on the future of small businesses. By contributing directly to production code and proof-of-concepts, you will solve complex financial technology challenges at a massive scale. The team / how they connect The Payments Platform team is the engine powering money movement across the entire ecosystem, collaborating closely with product, security, risk, and operations. We are a highly collaborative collective that values technical excellence, inclusion, and continuous innovation. Together, we work cross-functionally to translate complex business needs into resilient engineering solutions that support millions of subscribers. The team is currently working on / Initially, you will focus on Designing and building out payment platform capabilities, such as orchestration, risks & fraud, multi-providers, to accelerate various payment products development and improve operational posture Building out a global bill payment product to streamline how small businesses manage their cash flow Developing core high-throughput platform services Integrating and championing artificial intelligence capabilities to accelerate engineering productivity and enhance developer workflows Where and how you can work We support a hybrid working model that blends the flexibility of working from home with the collaboration of being in the office. You will spend time connecting with your team in our modern office spaces on designated boost days, balancing focused independent work with in-person connection. Here are some of the things we are looking for You bring a proven track record of delivering highly available, distributed backend systems and designing high-throughput services under real-world constraints A deep understanding of system architecture, API design, and both SQL and NoSQL databases is essential Your background includes proficiency in modern backend stacks such as C#, Java, Golang, or C++, alongside cloud-native platforms like AWS You are passionate about staying hands-on contributing directly to production code, proof-of-concepts, and technical deep dives. You possess strong leadership capabilities, with a passion for setting technical direction, mentoring engineers, and fostering an inclusive culture You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results. You are a strong partner to Product, Design, and other cross-functional teams to translate complex business needs into resilient engineering solutions. You are a champion of advanced usage in AI tools and practices across the team to accelerate development workflows. **This position is not eligible for employment visa sponsorship. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: California: $206K - $258K USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Jul 14, 2026
Full time
The role / impact In this role, you will help shape the technical foundation for money movement capabilities while unlocking new product lines globally. You will guide the design and development of reliable, scalable, performant, and secure services for the platform, ensuring operational excellence and direct business outcomes. This is a rare chance to join an early-stage initiative, make foundational architectural decisions, and have a visible impact on the future of small businesses. By contributing directly to production code and proof-of-concepts, you will solve complex financial technology challenges at a massive scale. The team / how they connect The Payments Platform team is the engine powering money movement across the entire ecosystem, collaborating closely with product, security, risk, and operations. We are a highly collaborative collective that values technical excellence, inclusion, and continuous innovation. Together, we work cross-functionally to translate complex business needs into resilient engineering solutions that support millions of subscribers. The team is currently working on / Initially, you will focus on Designing and building out payment platform capabilities, such as orchestration, risks & fraud, multi-providers, to accelerate various payment products development and improve operational posture Building out a global bill payment product to streamline how small businesses manage their cash flow Developing core high-throughput platform services Integrating and championing artificial intelligence capabilities to accelerate engineering productivity and enhance developer workflows Where and how you can work We support a hybrid working model that blends the flexibility of working from home with the collaboration of being in the office. You will spend time connecting with your team in our modern office spaces on designated boost days, balancing focused independent work with in-person connection. Here are some of the things we are looking for You bring a proven track record of delivering highly available, distributed backend systems and designing high-throughput services under real-world constraints A deep understanding of system architecture, API design, and both SQL and NoSQL databases is essential Your background includes proficiency in modern backend stacks such as C#, Java, Golang, or C++, alongside cloud-native platforms like AWS You are passionate about staying hands-on contributing directly to production code, proof-of-concepts, and technical deep dives. You possess strong leadership capabilities, with a passion for setting technical direction, mentoring engineers, and fostering an inclusive culture You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results. You are a strong partner to Product, Design, and other cross-functional teams to translate complex business needs into resilient engineering solutions. You are a champion of advanced usage in AI tools and practices across the team to accelerate development workflows. **This position is not eligible for employment visa sponsorship. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: California: $206K - $258K USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . At Front, we’re building the modern customer operations platform that powers high-stakes, high-volume communication for thousands of businesses. As we scale, our Developer Platform is how we make building on Front faster, safer, and more consistent for customers, partners, and our own developers. We build the tools for developers to build confidently on Front (APIs, MCP server, webhooks, SDKs, developer portal, and tooling). We’re looking for a Senior Product Manager to lead key bets across Developer Platform. You’ll sit at the intersection of engineering, product, and internal customers, translating real developer pain into a clear roadmap, crisp requirements, and measurable outcomes. This role is for a builder who loves enabling other builders — someone who can balance platform strategy with pragmatic execution and a high bar for quality. What will you be doing? Own Front's API, MCP, and AI connectivity strategy — including how external AI agents and systems interact with Front Partner deeply with engineering to define platform primitives (APIs, webhooks, SDKs, developer portal, tooling) that are scalable, secure, easy to adopt, and tied to real world use cases Identify, prioritize, and solve the highest-leverage customer pain points through a mix of discovery, data, and hands-on feedback loops with the developers who build on Front Drive alignment across stakeholders (product, engineering, partnerships, security, data, infrastructure) and make clear tradeoffs to keep teams moving with velocity Define success metrics and build mechanisms to measure and iterate What skills and experience do you need? 5+ years of product management experience, including ownership of technical products or platform-style initiatives Strong technical fluency and comfort working with APIs, developer tooling, and system design concepts (you can partner credibly with senior engineers) Proven ability to drive ambiguous, cross-functional work from problem definition through execution and adoption Strong prioritization instincts and a bias toward impact: you know when to invest in foundations vs. ship a pragmatic iteration Experience using data to guide decisions (instrumentation, funnels, usage metrics), paired with qualitative discovery AI fluency: you actively leverage AI tools to accelerate product discovery, synthesis, and execution, and you can evaluate where AI meaningfully improves developer workflows Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Jul 06, 2026
Full time
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . At Front, we’re building the modern customer operations platform that powers high-stakes, high-volume communication for thousands of businesses. As we scale, our Developer Platform is how we make building on Front faster, safer, and more consistent for customers, partners, and our own developers. We build the tools for developers to build confidently on Front (APIs, MCP server, webhooks, SDKs, developer portal, and tooling). We’re looking for a Senior Product Manager to lead key bets across Developer Platform. You’ll sit at the intersection of engineering, product, and internal customers, translating real developer pain into a clear roadmap, crisp requirements, and measurable outcomes. This role is for a builder who loves enabling other builders — someone who can balance platform strategy with pragmatic execution and a high bar for quality. What will you be doing? Own Front's API, MCP, and AI connectivity strategy — including how external AI agents and systems interact with Front Partner deeply with engineering to define platform primitives (APIs, webhooks, SDKs, developer portal, tooling) that are scalable, secure, easy to adopt, and tied to real world use cases Identify, prioritize, and solve the highest-leverage customer pain points through a mix of discovery, data, and hands-on feedback loops with the developers who build on Front Drive alignment across stakeholders (product, engineering, partnerships, security, data, infrastructure) and make clear tradeoffs to keep teams moving with velocity Define success metrics and build mechanisms to measure and iterate What skills and experience do you need? 5+ years of product management experience, including ownership of technical products or platform-style initiatives Strong technical fluency and comfort working with APIs, developer tooling, and system design concepts (you can partner credibly with senior engineers) Proven ability to drive ambiguous, cross-functional work from problem definition through execution and adoption Strong prioritization instincts and a bias toward impact: you know when to invest in foundations vs. ship a pragmatic iteration Experience using data to guide decisions (instrumentation, funnels, usage metrics), paired with qualitative discovery AI fluency: you actively leverage AI tools to accelerate product discovery, synthesis, and execution, and you can evaluate where AI meaningfully improves developer workflows Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
The Role Backflip is looking for experienced Software Engineers with strong full-stack fundamentals to join our team. You'll build the APIs, services, and infrastructure behind our products and ship features end to end, ensuring they meet the reliability, security, and performance expectations of our enterprise customers. We'll look to you to be product-minded, think holistically about the end-user experience, and bring a hands-on blend of architecture, infrastructure, and product sense. As a small team, we're all generalists who work wherever the product needs us. We're looking for engineers who thrive on autonomy and individual responsibility, and who are happy to jump in across the codebase. This is a hybrid role based in our San Francisco headquarters. What You’ll Do Design and build full-stack systems and the backend services, APIs, and infrastructure behind our products Take projects from ambiguous problem to shipped solution with minimal process Deploy products and ML models to production, and iterate quickly based on real customer feedback Develop integrations with CAD software, 3D tools, and other third-party applications Build the systems that make Backflip enterprise-ready: security, authentication, multi-tenancy, and observability Collaborate with the AI team to turn new model capabilities into shipped product Contribute to technical architecture, design reviews, and engineering best practices What We’re Looking For 4+ years of professional software engineering experience A strong generalist who can build, ship, and scale complex full-stack systems Experience architecting backend systems, services, APIs, and data flows, for reliability and scale Fluent in a modern backend stack (TypeScript, Node.js, Python, RESTful APIs, CI/CD) Able to build and ship user-facing features end to end, from data model to UI (TypeScript, React) Experience building secure, production systems for enterprise customers Pragmatic and product-minded. You balance speed and quality, and enjoy taking features from idea to shipped Bonus points for experience with ML, data, or search systems, building plugins for desktop CAD tools, or genuine excitement about the mechanical design space. You don't need to check every box. If you're a strong engineer who's excited about the problem, we'd love to hear from you. About Backflip Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world’s scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged, exited for $2.1B), Backflip combines deep industry insight with breakthrough AI research. With investor Ashish Vaswani (transformer inventor), and backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
Jun 04, 2026
Full time
The Role Backflip is looking for experienced Software Engineers with strong full-stack fundamentals to join our team. You'll build the APIs, services, and infrastructure behind our products and ship features end to end, ensuring they meet the reliability, security, and performance expectations of our enterprise customers. We'll look to you to be product-minded, think holistically about the end-user experience, and bring a hands-on blend of architecture, infrastructure, and product sense. As a small team, we're all generalists who work wherever the product needs us. We're looking for engineers who thrive on autonomy and individual responsibility, and who are happy to jump in across the codebase. This is a hybrid role based in our San Francisco headquarters. What You’ll Do Design and build full-stack systems and the backend services, APIs, and infrastructure behind our products Take projects from ambiguous problem to shipped solution with minimal process Deploy products and ML models to production, and iterate quickly based on real customer feedback Develop integrations with CAD software, 3D tools, and other third-party applications Build the systems that make Backflip enterprise-ready: security, authentication, multi-tenancy, and observability Collaborate with the AI team to turn new model capabilities into shipped product Contribute to technical architecture, design reviews, and engineering best practices What We’re Looking For 4+ years of professional software engineering experience A strong generalist who can build, ship, and scale complex full-stack systems Experience architecting backend systems, services, APIs, and data flows, for reliability and scale Fluent in a modern backend stack (TypeScript, Node.js, Python, RESTful APIs, CI/CD) Able to build and ship user-facing features end to end, from data model to UI (TypeScript, React) Experience building secure, production systems for enterprise customers Pragmatic and product-minded. You balance speed and quality, and enjoy taking features from idea to shipped Bonus points for experience with ML, data, or search systems, building plugins for desktop CAD tools, or genuine excitement about the mechanical design space. You don't need to check every box. If you're a strong engineer who's excited about the problem, we'd love to hear from you. About Backflip Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world’s scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged, exited for $2.1B), Backflip combines deep industry insight with breakthrough AI research. With investor Ashish Vaswani (transformer inventor), and backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
The Role Backflip is looking for experienced Software Engineers with strong full-stack fundamentals to join our team. You'll build the APIs, services, and infrastructure behind our products and ship features end to end, ensuring they meet the reliability, security, and performance expectations of our enterprise customers. We'll look to you to be product-minded, think holistically about the end-user experience, and bring a hands-on blend of architecture, infrastructure, and product sense. As a small team, we're all generalists who work wherever the product needs us. We're looking for engineers who thrive on autonomy and individual responsibility, and who are happy to jump in across the codebase. This is a hybrid role based in our San Francisco headquarters. What You’ll Do Design and build full-stack systems and the backend services, APIs, and infrastructure behind our products Take projects from ambiguous problem to shipped solution with minimal process Deploy products and ML models to production, and iterate quickly based on real customer feedback Develop integrations with CAD software, 3D tools, and other third-party applications Build the systems that make Backflip enterprise-ready: security, authentication, multi-tenancy, and observability Collaborate with the AI team to turn new model capabilities into shipped product Contribute to technical architecture, design reviews, and engineering best practices What We’re Looking For 4+ years of professional software engineering experience A strong generalist who can build, ship, and scale complex full-stack systems Experience architecting backend systems, services, APIs, and data flows, for reliability and scale Fluent in a modern backend stack (TypeScript, Node.js, Python, RESTful APIs, CI/CD) Able to build and ship user-facing features end to end, from data model to UI (TypeScript, React) Experience building secure, production systems for enterprise customers Pragmatic and product-minded. You balance speed and quality, and enjoy taking features from idea to shipped Bonus points for experience with ML, data, or search systems, building plugins for desktop CAD tools, or genuine excitement about the mechanical design space. You don't need to check every box. If you're a strong engineer who's excited about the problem, we'd love to hear from you. About Backflip Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world’s scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged, exited for $2.1B), Backflip combines deep industry insight with breakthrough AI research. With investor Ashish Vaswani (transformer inventor), and backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
Jun 04, 2026
Full time
The Role Backflip is looking for experienced Software Engineers with strong full-stack fundamentals to join our team. You'll build the APIs, services, and infrastructure behind our products and ship features end to end, ensuring they meet the reliability, security, and performance expectations of our enterprise customers. We'll look to you to be product-minded, think holistically about the end-user experience, and bring a hands-on blend of architecture, infrastructure, and product sense. As a small team, we're all generalists who work wherever the product needs us. We're looking for engineers who thrive on autonomy and individual responsibility, and who are happy to jump in across the codebase. This is a hybrid role based in our San Francisco headquarters. What You’ll Do Design and build full-stack systems and the backend services, APIs, and infrastructure behind our products Take projects from ambiguous problem to shipped solution with minimal process Deploy products and ML models to production, and iterate quickly based on real customer feedback Develop integrations with CAD software, 3D tools, and other third-party applications Build the systems that make Backflip enterprise-ready: security, authentication, multi-tenancy, and observability Collaborate with the AI team to turn new model capabilities into shipped product Contribute to technical architecture, design reviews, and engineering best practices What We’re Looking For 4+ years of professional software engineering experience A strong generalist who can build, ship, and scale complex full-stack systems Experience architecting backend systems, services, APIs, and data flows, for reliability and scale Fluent in a modern backend stack (TypeScript, Node.js, Python, RESTful APIs, CI/CD) Able to build and ship user-facing features end to end, from data model to UI (TypeScript, React) Experience building secure, production systems for enterprise customers Pragmatic and product-minded. You balance speed and quality, and enjoy taking features from idea to shipped Bonus points for experience with ML, data, or search systems, building plugins for desktop CAD tools, or genuine excitement about the mechanical design space. You don't need to check every box. If you're a strong engineer who's excited about the problem, we'd love to hear from you. About Backflip Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world’s scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged, exited for $2.1B), Backflip combines deep industry insight with breakthrough AI research. With investor Ashish Vaswani (transformer inventor), and backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
The Role Backflip is looking for experienced Software Engineers with strong full-stack fundamentals to join our team. You'll build the APIs, services, and infrastructure behind our products and ship features end to end, ensuring they meet the reliability, security, and performance expectations of our enterprise customers. We'll look to you to be product-minded, think holistically about the end-user experience, and bring a hands-on blend of architecture, infrastructure, and product sense. As a small team, we're all generalists who work wherever the product needs us. We're looking for engineers who thrive on autonomy and individual responsibility, and who are happy to jump in across the codebase. This is a hybrid role based in our San Francisco headquarters. What You’ll Do Design and build full-stack systems and the backend services, APIs, and infrastructure behind our products Take projects from ambiguous problem to shipped solution with minimal process Deploy products and ML models to production, and iterate quickly based on real customer feedback Develop integrations with CAD software, 3D tools, and other third-party applications Build the systems that make Backflip enterprise-ready: security, authentication, multi-tenancy, and observability Collaborate with the AI team to turn new model capabilities into shipped product Contribute to technical architecture, design reviews, and engineering best practices What We’re Looking For 4+ years of professional software engineering experience A strong generalist who can build, ship, and scale complex full-stack systems Experience architecting backend systems, services, APIs, and data flows, for reliability and scale Fluent in a modern backend stack (TypeScript, Node.js, Python, RESTful APIs, CI/CD) Able to build and ship user-facing features end to end, from data model to UI (TypeScript, React) Experience building secure, production systems for enterprise customers Pragmatic and product-minded. You balance speed and quality, and enjoy taking features from idea to shipped Bonus points for experience with ML, data, or search systems, building plugins for desktop CAD tools, or genuine excitement about the mechanical design space. You don't need to check every box. If you're a strong engineer who's excited about the problem, we'd love to hear from you. About Backflip Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world’s scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged, exited for $2.1B), Backflip combines deep industry insight with breakthrough AI research. With investor Ashish Vaswani (transformer inventor), and backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
Jun 04, 2026
Full time
The Role Backflip is looking for experienced Software Engineers with strong full-stack fundamentals to join our team. You'll build the APIs, services, and infrastructure behind our products and ship features end to end, ensuring they meet the reliability, security, and performance expectations of our enterprise customers. We'll look to you to be product-minded, think holistically about the end-user experience, and bring a hands-on blend of architecture, infrastructure, and product sense. As a small team, we're all generalists who work wherever the product needs us. We're looking for engineers who thrive on autonomy and individual responsibility, and who are happy to jump in across the codebase. This is a hybrid role based in our San Francisco headquarters. What You’ll Do Design and build full-stack systems and the backend services, APIs, and infrastructure behind our products Take projects from ambiguous problem to shipped solution with minimal process Deploy products and ML models to production, and iterate quickly based on real customer feedback Develop integrations with CAD software, 3D tools, and other third-party applications Build the systems that make Backflip enterprise-ready: security, authentication, multi-tenancy, and observability Collaborate with the AI team to turn new model capabilities into shipped product Contribute to technical architecture, design reviews, and engineering best practices What We’re Looking For 4+ years of professional software engineering experience A strong generalist who can build, ship, and scale complex full-stack systems Experience architecting backend systems, services, APIs, and data flows, for reliability and scale Fluent in a modern backend stack (TypeScript, Node.js, Python, RESTful APIs, CI/CD) Able to build and ship user-facing features end to end, from data model to UI (TypeScript, React) Experience building secure, production systems for enterprise customers Pragmatic and product-minded. You balance speed and quality, and enjoy taking features from idea to shipped Bonus points for experience with ML, data, or search systems, building plugins for desktop CAD tools, or genuine excitement about the mechanical design space. You don't need to check every box. If you're a strong engineer who's excited about the problem, we'd love to hear from you. About Backflip Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world’s scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged, exited for $2.1B), Backflip combines deep industry insight with breakthrough AI research. With investor Ashish Vaswani (transformer inventor), and backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
The Role Backflip is looking for experienced Software Engineers with strong full-stack fundamentals to join our team. You'll build the APIs, services, and infrastructure behind our products and ship features end to end, ensuring they meet the reliability, security, and performance expectations of our enterprise customers. We'll look to you to be product-minded, think holistically about the end-user experience, and bring a hands-on blend of architecture, infrastructure, and product sense. As a small team, we're all generalists who work wherever the product needs us. We're looking for engineers who thrive on autonomy and individual responsibility, and who are happy to jump in across the codebase. This is a hybrid role based in our San Francisco headquarters. What You’ll Do Design and build full-stack systems and the backend services, APIs, and infrastructure behind our products Take projects from ambiguous problem to shipped solution with minimal process Deploy products and ML models to production, and iterate quickly based on real customer feedback Develop integrations with CAD software, 3D tools, and other third-party applications Build the systems that make Backflip enterprise-ready: security, authentication, multi-tenancy, and observability Collaborate with the AI team to turn new model capabilities into shipped product Contribute to technical architecture, design reviews, and engineering best practices What We’re Looking For 4+ years of professional software engineering experience A strong generalist who can build, ship, and scale complex full-stack systems Experience architecting backend systems, services, APIs, and data flows, for reliability and scale Fluent in a modern backend stack (TypeScript, Node.js, Python, RESTful APIs, CI/CD) Able to build and ship user-facing features end to end, from data model to UI (TypeScript, React) Experience building secure, production systems for enterprise customers Pragmatic and product-minded. You balance speed and quality, and enjoy taking features from idea to shipped Bonus points for experience with ML, data, or search systems, building plugins for desktop CAD tools, or genuine excitement about the mechanical design space. You don't need to check every box. If you're a strong engineer who's excited about the problem, we'd love to hear from you. About Backflip Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world’s scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged, exited for $2.1B), Backflip combines deep industry insight with breakthrough AI research. With investor Ashish Vaswani (transformer inventor), and backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
Jun 04, 2026
Full time
The Role Backflip is looking for experienced Software Engineers with strong full-stack fundamentals to join our team. You'll build the APIs, services, and infrastructure behind our products and ship features end to end, ensuring they meet the reliability, security, and performance expectations of our enterprise customers. We'll look to you to be product-minded, think holistically about the end-user experience, and bring a hands-on blend of architecture, infrastructure, and product sense. As a small team, we're all generalists who work wherever the product needs us. We're looking for engineers who thrive on autonomy and individual responsibility, and who are happy to jump in across the codebase. This is a hybrid role based in our San Francisco headquarters. What You’ll Do Design and build full-stack systems and the backend services, APIs, and infrastructure behind our products Take projects from ambiguous problem to shipped solution with minimal process Deploy products and ML models to production, and iterate quickly based on real customer feedback Develop integrations with CAD software, 3D tools, and other third-party applications Build the systems that make Backflip enterprise-ready: security, authentication, multi-tenancy, and observability Collaborate with the AI team to turn new model capabilities into shipped product Contribute to technical architecture, design reviews, and engineering best practices What We’re Looking For 4+ years of professional software engineering experience A strong generalist who can build, ship, and scale complex full-stack systems Experience architecting backend systems, services, APIs, and data flows, for reliability and scale Fluent in a modern backend stack (TypeScript, Node.js, Python, RESTful APIs, CI/CD) Able to build and ship user-facing features end to end, from data model to UI (TypeScript, React) Experience building secure, production systems for enterprise customers Pragmatic and product-minded. You balance speed and quality, and enjoy taking features from idea to shipped Bonus points for experience with ML, data, or search systems, building plugins for desktop CAD tools, or genuine excitement about the mechanical design space. You don't need to check every box. If you're a strong engineer who's excited about the problem, we'd love to hear from you. About Backflip Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world’s scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged, exited for $2.1B), Backflip combines deep industry insight with breakthrough AI research. With investor Ashish Vaswani (transformer inventor), and backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team.
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . Over 9,000 companies rely on Front to run their customer operations. AI is reshaping what's possible in this space, and Front is building the platform to deliver on that promise. At the center of this effort is our Core AI Platform team - a group of our strongest applied AI and engineering talent whose work underpins every AI-powered experience across the product. We're looking for an engineering leader to own this team and its outsized impact on Front's product and customers. The Core AI Platform team is responsible for three things: Building and maintaining the foundational AI infrastructure (LLM integrations, RAG pipelines, evaluation systems) that all product teams at Front rely on Enabling product feature teams to ship AI-powered experiences quickly and reliably by providing well-abstracted, production-grade AI capabilities Pushing the frontier on AI techniques and tooling so Front stays ahead of the rapid pace of change in AI/ML To be successful in this role, you will manage a team of senior AI engineers - both applied AI and full-stack AI specialists - to deliver on an ambitious technical roadmap. You will guide strategic AI investments by evaluating emerging techniques and directing effort toward the highest-impact bets. You will lean in on technical design and architecture, scale the team by attracting top AI talent, and drive the processes that let a platform team serve many product teams effectively. This is a highly collaborative role where you will partner closely with product managers, other engineering managers, and engineers across the organization. What will you be doing? Own the technical roadmap for Front's AI platform, guiding strategic investments in AI by evaluating emerging techniques, making build-vs-buy decisions, and partnering with product and engineering leadership to prioritize the highest-leverage capabilities Drive architectural decisions on AI infrastructure - LLM orchestration, RAG systems, model evaluation, prompt management - ensuring reliability, scalability, and developer ergonomics Manage and grow a team of senior engineers, providing mentorship and career development while maintaining a high talent bar Define and improve the interfaces between the AI platform and product feature teams, enabling autonomous and efficient execution across the organization Contribute to engineering-wide initiatives as a member of Front's engineering management team What skills and experience do you need? Must have - Deep technical fluency in AI/ML systems, particularly LLM-based applications, with the ability to evaluate trade-offs and guide architectural decisions alongside senior engineers Track record of managing and scaling a team of senior/staff engineers through ambiguous, fast-moving problem spaces Proven ability to guide strategic AI investments - evaluating emerging techniques, making build-vs-buy decisions, and directing team effort toward the highest-impact bets in a rapidly evolving space Should have - Strong cross-functional partnership skills to align AI platform capabilities with product needs across multiple teams Ability to attract, develop, and retain top AI engineering talent in a competitive market Experience building and operating AI/ML infrastructure or platform services in production at scale Nice to have - Founded or built a new team/function/capability from early stages Experience at a B2B SaaS company applying AI to enterprise workflows Background in developer experience or internal platform work that accelerated other engineering teams Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
Feb 18, 2026
Full time
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . Over 9,000 companies rely on Front to run their customer operations. AI is reshaping what's possible in this space, and Front is building the platform to deliver on that promise. At the center of this effort is our Core AI Platform team - a group of our strongest applied AI and engineering talent whose work underpins every AI-powered experience across the product. We're looking for an engineering leader to own this team and its outsized impact on Front's product and customers. The Core AI Platform team is responsible for three things: Building and maintaining the foundational AI infrastructure (LLM integrations, RAG pipelines, evaluation systems) that all product teams at Front rely on Enabling product feature teams to ship AI-powered experiences quickly and reliably by providing well-abstracted, production-grade AI capabilities Pushing the frontier on AI techniques and tooling so Front stays ahead of the rapid pace of change in AI/ML To be successful in this role, you will manage a team of senior AI engineers - both applied AI and full-stack AI specialists - to deliver on an ambitious technical roadmap. You will guide strategic AI investments by evaluating emerging techniques and directing effort toward the highest-impact bets. You will lean in on technical design and architecture, scale the team by attracting top AI talent, and drive the processes that let a platform team serve many product teams effectively. This is a highly collaborative role where you will partner closely with product managers, other engineering managers, and engineers across the organization. What will you be doing? Own the technical roadmap for Front's AI platform, guiding strategic investments in AI by evaluating emerging techniques, making build-vs-buy decisions, and partnering with product and engineering leadership to prioritize the highest-leverage capabilities Drive architectural decisions on AI infrastructure - LLM orchestration, RAG systems, model evaluation, prompt management - ensuring reliability, scalability, and developer ergonomics Manage and grow a team of senior engineers, providing mentorship and career development while maintaining a high talent bar Define and improve the interfaces between the AI platform and product feature teams, enabling autonomous and efficient execution across the organization Contribute to engineering-wide initiatives as a member of Front's engineering management team What skills and experience do you need? Must have - Deep technical fluency in AI/ML systems, particularly LLM-based applications, with the ability to evaluate trade-offs and guide architectural decisions alongside senior engineers Track record of managing and scaling a team of senior/staff engineers through ambiguous, fast-moving problem spaces Proven ability to guide strategic AI investments - evaluating emerging techniques, making build-vs-buy decisions, and directing team effort toward the highest-impact bets in a rapidly evolving space Should have - Strong cross-functional partnership skills to align AI platform capabilities with product needs across multiple teams Ability to attract, develop, and retain top AI engineering talent in a competitive market Experience building and operating AI/ML infrastructure or platform services in production at scale Nice to have - Founded or built a new team/function/capability from early stages Experience at a B2B SaaS company applying AI to enterprise workflows Background in developer experience or internal platform work that accelerated other engineering teams Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
