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 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
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
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
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
