6 jobs found in mountain view

Intuit's Global Business Solutions Group (GBSG) builds the platform that powers prosperity for millions of small and mid-market businesses. Intuit Enterprise Suite (IES) is our AI-native ERP designed specifically for Mid Market businesses.   We are looking for a curious, influential, and deeply strategic data science leader with a passion for B2B growth marketing to drive the data science program within  IES marketing.     This role will interface directly with Channel Marketing, Product Marketing, Sales, and Finance leaders and be expected to directly influence customer growth by driving data-backed perspectives against our marketing roadmaps and optimizing our marketing investments.  This role will be expected to accelerate IES growth by directly shaping the direction of our full-funnel marketing efforts.   Responsibilities Drive IES growth by shaping the strategic direction of our full-funnel marketing investments alongside Marketing, Finance, and Sales leaders through decomposition of GTM strategy into measurable frameworks - identify the critical assumptions underlying the plan, size sensitivity, and design the measurement that unlocks them Execute marketing measurement through data instrumentation, reporting,  marketing measurement models, experimentation, and other causal measurement techniques, powered by agentic systems Synthesize business performance narratives across the entire Digital and Sales funnel, shaping the unified understanding of performance drivers and headwinds against our target.  Identify opportunities and operationalize motions to win against them, from top of funnel demand gen marketing all the way through to MQL, SQL, and closed opportunities  via Sales. Unpack media channel contribution and drive continuous x-channel optimization to improve growth and ROI Own the data architecture and systems that power clean views on marketing performance - build and enhance with new data source and technology integrations. Build a durable understanding of the Mid-Market customer and the path to grow them via data-backed hypotheses and measurement Qualifications 8+ years in data science or analytics, including significant depth in marketing, growth, or go-to-market measurement, with a track record of driving strategy and impact across multiple initiatives or business units. Proven ability to direct growth roadmaps and influence strategy with data-backed hypotheses and measurement initiatives Demonstrated B2B marketing measurement expertise: deep, direct experience with demand gen and account-based marketing in a high-ACV product Experience with lead lifecycle and lead-quality measurement across the MQL through Closed Won funnel Expertise in marketing measurement techniques include advanced marketing models, experimentation, synthetic control, and channel attribution.   Ability to partner with XFN leaders and advocate for DS projects that require downstream dependencies, own program prioritization and execution of a broad portfolio of DS responsibilities Deep strategic and business management thinking with domain knowledge on core finance, product marketing, and corporate strategy concepts Exceptional tops-down executive communication: proven ability to construct a data narrative in dynamic situations with Director and VP-level leaders Advanced SQL and Python, hands-on instrumentation and pipeline/ETL construction, and comfort working directly in large, multi-source enterprise data (CRM/Salesforce, Marketo, ad platform, web clickstream). Experience building and shipping AI agent systems for use by both internal and external teams BS or MS in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Engineering, Business or a related quantitative field, or equivalent work experience. Advanced degree preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.  The expected base pay range for this position is: Mountain View $210,500 - $284,500

Intuit's Global Business Solutions Group (GBSG) builds the platform that powers prosperity for millions of small and mid-market businesses. Intuit Enterprise Suite (IES) is our AI-native ERP designed specifically for Mid Market businesses.   We are looking for a curious, influential, and deeply strategic data science leader with a passion for B2B growth marketing to drive the data science program within  IES marketing.     This role will interface directly with Channel Marketing, Product Marketing, Sales, and Finance leaders and be expected to directly influence customer growth by driving data-backed perspectives against our marketing roadmaps and optimizing our marketing investments.  This role will be expected to accelerate IES growth by directly shaping the direction of our full-funnel marketing efforts.   Responsibilities Drive IES growth by shaping the strategic direction of our full-funnel marketing investments alongside Marketing, Finance, and Sales leaders through decomposition of GTM strategy into measurable frameworks - identify the critical assumptions underlying the plan, size sensitivity, and design the measurement that unlocks them Execute marketing measurement through data instrumentation, reporting,  marketing measurement models, experimentation, and other causal measurement techniques, powered by agentic systems Synthesize business performance narratives across the entire Digital and Sales funnel, shaping the unified understanding of performance drivers and headwinds against our target.  Identify opportunities and operationalize motions to win against them, from top of funnel demand gen marketing all the way through to MQL, SQL, and closed opportunities  via Sales. Unpack media channel contribution and drive continuous x-channel optimization to improve growth and ROI Own the data architecture and systems that power clean views on marketing performance - build and enhance with new data source and technology integrations. Build a durable understanding of the Mid-Market customer and the path to grow them via data-backed hypotheses and measurement Qualifications 8+ years in data science or analytics, including significant depth in marketing, growth, or go-to-market measurement, with a track record of driving strategy and impact across multiple initiatives or business units. Proven ability to direct growth roadmaps and influence strategy with data-backed hypotheses and measurement initiatives Demonstrated B2B marketing measurement expertise: deep, direct experience with demand gen and account-based marketing in a high-ACV product Experience with lead lifecycle and lead-quality measurement across the MQL through Closed Won funnel Expertise in marketing measurement techniques include advanced marketing models, experimentation, synthetic control, and channel attribution.   Ability to partner with XFN leaders and advocate for DS projects that require downstream dependencies, own program prioritization and execution of a broad portfolio of DS responsibilities Deep strategic and business management thinking with domain knowledge on core finance, product marketing, and corporate strategy concepts Exceptional tops-down executive communication: proven ability to construct a data narrative in dynamic situations with Director and VP-level leaders Advanced SQL and Python, hands-on instrumentation and pipeline/ETL construction, and comfort working directly in large, multi-source enterprise data (CRM/Salesforce, Marketo, ad platform, web clickstream). Experience building and shipping AI agent systems for use by both internal and external teams BS or MS in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Engineering, Business or a related quantitative field, or equivalent work experience. Advanced degree preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.  The expected base pay range for this position is: Mountain View $210,500 - $284,500

Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. We are looking for a strong Senior Staff Data Scientist to lead Talent Acquisition analytics strategy.  As Talent Acquisition analytics has moved past descriptive reporting, this lead position will drive overall TA analytics strategy focusing on hiring forecasting, talent funnel conversion modeling, and defining and delivering AI-native use cases and prototypes across data & analytics. This role plays a key part in supporting major HR initiatives, including workforce planning and organizational effectiveness. This individual will build trust in TA's data, both in Avature and in the data lake, and translate that trust into a strategic understanding of the talent data ecosystem that strengthens TA's ability to meet business hiring needs and deliver on operational excellence.  This is not purely a technical role. It requires the business acumen and leadership presence to connect insights across the full candidate and employee lifecycle - bringing hiring, attrition, and internal mobility together - and to operate as a trusted advisor to TA leadership, shaping the questions as well as answering them. It also means bringing an external lens into TA: benchmarking Intuit's hiring funnel, forecasting approach, and recruiter productivity against industry standards, so TA's methods keep pace with where the broader market is headed. Working across the broader People Analytics team, you will partner on Talent Acquisition data products, analytics, and models combining hands-on analysis with the advisory judgment to turn findings into decisions.  Responsibilities Data & Analytics Roadmap Design & Execution Translate TA and business strategy into analytical problems, self-generating hypotheses from the data and validating or disproving them to produce recommendations that inform hiring and workforce decisions across multiple initiatives. Develop, maintain, and socialize the Talent Acquisition Data & Analytics roadmap, reflecting a prioritized inventory of the current and upcoming work, and drive the business case for the investments it implies. Define the metrics that hold TA and business leaders accountable for hiring strength and requisition governance, at the function level rather than the individual report level. Combine insights, business acumen, and strategic considerations to influence Director-level and above stakeholders, translating complex analysis into a narrative leaders will act on rather than simply report against. Connect insights across the candidate and employee lifecycle, bringing hiring, attrition, and internal mobility together into a single view. Bring external analytics benchmarking and TA industry best practices into Intuit, so forecasting, funnel, and recruiter-productivity work is informed by where the broader market and competitors are heading, not only by internal history. Strategy and Measurement for AI-Native Experiences Ideate and scope AI use cases within Talent Acquisition by connecting industry-wide developments in AI with strategic insight, customer knowledge, and TA domain knowledge, from ideation through measurement. Influence cross-functional partners in creating a development plan for those use cases, and define success metrics that connect model performance to hiring and business outcomes. Provide thought partnership on phased testing and rollout of AI-native experiences, with the right measurement in place at each stage. Drive requirements for scaled solutions including automated insights, dashboards, and reporting that support TA leadership, recruiters, HR, and Finance. Own TA's data governance framework across Avature and the data lake, ensuring data quality, cleanliness, and readiness for AI and advanced analytics. Inference and Algorithms Build and evolve hiring forecast and funnel conversion models, applying predictive and causal inference techniques to identify trends, friction points, and opportunities to improve hiring outcomes. Manage the end-to-end aspects of complex analytics model builds, from scope and requirements through stakeholder management and delivery, for work that drives function-level decisions. Partner on recruiter capacity and productivity analytics, bringing recommendations that sharpen capacity planning and target-setting accuracy, and designing new models where the current approach leaves gaps. Identify new methodologies and external trends and adapt them to TA use cases, creating shareable frameworks that clarify when and how a new approach should be used. Collaborate across TA, People Analytics Research Team, Finance, and other stakeholders to share knowledge and build scalable, enterprise-ready solutions. Qualifications 8+ years of experience in People Analytics, including data science roles, with 5+ years supporting Talent Acquisition analytics. Proven experience partnering closely with Talent Acquisition leadership to maintain an end-to-end analytics roadmap, and leading cross-functional analytics initiatives involving multiple stakeholders across HR, technology, and business. Demonstrated expertise in building and interpreting hiring models, including predictive and forecast models, and applied experience with causal inference methods such as propensity score, difference-in-differences, or synthetic control, with clarity on when each applies. Advanced SQL and fluency in Python or R, with genuine hands-on comfort with data wrangling and analysis.  Experience scoping and measuring AI-native experiences, with a clear approach to measurement at each stage of phased testing and rollout, and fluency in how model performance metrics connect to business outcomes. Proven ability to partner with senior leaders as an advisor, with the judgment to determine how much analysis a decision requires and the credibility to stand behind a recommendation. The judgment to connect hiring, attrition, and internal mobility signals into a single lifecycle view rather than treating TA analytics as a siloed function, and to know when a question calls for a deeper model versus a fast, directional read that unblocks a leadership decision. Experience working with Avature or other related ATS systems. Demonstrated ownership of data governance frameworks and data quality standards, including making an imperfect data source trustworthy and keeping it that way. Passion for enabling data-driven, equitable people processes that foster growth and inclusion. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.  The expected base pay range for this position is: Mountain View $210,500 - $284,500

Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. We are looking for a strong Senior Staff Data Scientist to lead Talent Acquisition analytics strategy.  As Talent Acquisition analytics has moved past descriptive reporting, this lead position will drive overall TA analytics strategy focusing on hiring forecasting, talent funnel conversion modeling, and defining and delivering AI-native use cases and prototypes across data & analytics. This role plays a key part in supporting major HR initiatives, including workforce planning and organizational effectiveness. This individual will build trust in TA's data, both in Avature and in the data lake, and translate that trust into a strategic understanding of the talent data ecosystem that strengthens TA's ability to meet business hiring needs and deliver on operational excellence.  This is not purely a technical role. It requires the business acumen and leadership presence to connect insights across the full candidate and employee lifecycle - bringing hiring, attrition, and internal mobility together - and to operate as a trusted advisor to TA leadership, shaping the questions as well as answering them. It also means bringing an external lens into TA: benchmarking Intuit's hiring funnel, forecasting approach, and recruiter productivity against industry standards, so TA's methods keep pace with where the broader market is headed. Working across the broader People Analytics team, you will partner on Talent Acquisition data products, analytics, and models combining hands-on analysis with the advisory judgment to turn findings into decisions.  Responsibilities Data & Analytics Roadmap Design & Execution Translate TA and business strategy into analytical problems, self-generating hypotheses from the data and validating or disproving them to produce recommendations that inform hiring and workforce decisions across multiple initiatives. Develop, maintain, and socialize the Talent Acquisition Data & Analytics roadmap, reflecting a prioritized inventory of the current and upcoming work, and drive the business case for the investments it implies. Define the metrics that hold TA and business leaders accountable for hiring strength and requisition governance, at the function level rather than the individual report level. Combine insights, business acumen, and strategic considerations to influence Director-level and above stakeholders, translating complex analysis into a narrative leaders will act on rather than simply report against. Connect insights across the candidate and employee lifecycle, bringing hiring, attrition, and internal mobility together into a single view. Bring external analytics benchmarking and TA industry best practices into Intuit, so forecasting, funnel, and recruiter-productivity work is informed by where the broader market and competitors are heading, not only by internal history. Strategy and Measurement for AI-Native Experiences Ideate and scope AI use cases within Talent Acquisition by connecting industry-wide developments in AI with strategic insight, customer knowledge, and TA domain knowledge, from ideation through measurement. Influence cross-functional partners in creating a development plan for those use cases, and define success metrics that connect model performance to hiring and business outcomes. Provide thought partnership on phased testing and rollout of AI-native experiences, with the right measurement in place at each stage. Drive requirements for scaled solutions including automated insights, dashboards, and reporting that support TA leadership, recruiters, HR, and Finance. Own TA's data governance framework across Avature and the data lake, ensuring data quality, cleanliness, and readiness for AI and advanced analytics. Inference and Algorithms Build and evolve hiring forecast and funnel conversion models, applying predictive and causal inference techniques to identify trends, friction points, and opportunities to improve hiring outcomes. Manage the end-to-end aspects of complex analytics model builds, from scope and requirements through stakeholder management and delivery, for work that drives function-level decisions. Partner on recruiter capacity and productivity analytics, bringing recommendations that sharpen capacity planning and target-setting accuracy, and designing new models where the current approach leaves gaps. Identify new methodologies and external trends and adapt them to TA use cases, creating shareable frameworks that clarify when and how a new approach should be used. Collaborate across TA, People Analytics Research Team, Finance, and other stakeholders to share knowledge and build scalable, enterprise-ready solutions. Qualifications 8+ years of experience in People Analytics, including data science roles, with 5+ years supporting Talent Acquisition analytics. Proven experience partnering closely with Talent Acquisition leadership to maintain an end-to-end analytics roadmap, and leading cross-functional analytics initiatives involving multiple stakeholders across HR, technology, and business. Demonstrated expertise in building and interpreting hiring models, including predictive and forecast models, and applied experience with causal inference methods such as propensity score, difference-in-differences, or synthetic control, with clarity on when each applies. Advanced SQL and fluency in Python or R, with genuine hands-on comfort with data wrangling and analysis.  Experience scoping and measuring AI-native experiences, with a clear approach to measurement at each stage of phased testing and rollout, and fluency in how model performance metrics connect to business outcomes. Proven ability to partner with senior leaders as an advisor, with the judgment to determine how much analysis a decision requires and the credibility to stand behind a recommendation. The judgment to connect hiring, attrition, and internal mobility signals into a single lifecycle view rather than treating TA analytics as a siloed function, and to know when a question calls for a deeper model versus a fast, directional read that unblocks a leadership decision. Experience working with Avature or other related ATS systems. Demonstrated ownership of data governance frameworks and data quality standards, including making an imperfect data source trustworthy and keeping it that way. Passion for enabling data-driven, equitable people processes that foster growth and inclusion. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.  The expected base pay range for this position is: Mountain View $210,500 - $284,500

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a “builder” mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. Come join the team and get involved in building the next-generation Change Management platform for Intuit. The Change Management team builds the platform that makes production change at Intuit safe, fast, and observable. We own the Change Management Service (CMS) and the experiences developers rely on to ship with confidence. Our work sits at the intersection of developer productivity and operational reliability: every change that moves through Intuit's paved roads touches something we build. Responsibilities Own  the technical direction and low-level design for core Change Management platform services, setting patterns other engineers build on. Champion  contract stability across producers and consumers — establish integration tests and guardrails so breaking changes are caught before they cause downstream incidents. Operate  as a senior technical voice in design reviews, cross-team interlocks, and incident retrospectives, and mentor engineers across the team. Use  your coding expertise to design and implement scalable, modular, and secure services and infrastructure, providing reliability solutions to all of Intuit. Work  as part of a fast-paced scrum team with accountability and extreme ownership. Develop,  test, and deploy your own code. Integrate  Agentic workflows into backend and front-end services. Qualifications 8+ years of software engineering experience building and operating production platform or infrastructure services at scale. Deep expertise in a modern backend stack (Go Preferred) and in designing resilient, well-instrumented distributed systems and APIs.  Deep expertise in Front end stack (React preferred).  A strong track record designing platform integrations and managing API contracts, versioning, and backward compatibility across many consuming teams. Hands-on experience with CI/CD and progressive delivery (Argo CD, canary/blue-green rollouts) and with cloud-native infrastructure (AWS, Kubernetes). Fluency in operational excellence — observability, on-call, incident response, and using production signal to drive reliability improvements. Demonstrated technical leadership: driving cross-team alignment, influencing without authority, and raising the engineering bar through design and mentorship. Excellent written and verbal communication, and the judgment to balance delivery speed against long-term platform health. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.  The expected base pay range for this position is: Mountain View $202,500 - $274,000

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a “builder” mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. Come join the team and get involved in building the next-generation Change Management platform for Intuit. The Change Management team builds the platform that makes production change at Intuit safe, fast, and observable. We own the Change Management Service (CMS) and the experiences developers rely on to ship with confidence. Our work sits at the intersection of developer productivity and operational reliability: every change that moves through Intuit's paved roads touches something we build. Responsibilities Own  the technical direction and low-level design for core Change Management platform services, setting patterns other engineers build on. Champion  contract stability across producers and consumers — establish integration tests and guardrails so breaking changes are caught before they cause downstream incidents. Operate  as a senior technical voice in design reviews, cross-team interlocks, and incident retrospectives, and mentor engineers across the team. Use  your coding expertise to design and implement scalable, modular, and secure services and infrastructure, providing reliability solutions to all of Intuit. Work  as part of a fast-paced scrum team with accountability and extreme ownership. Develop,  test, and deploy your own code. Integrate  Agentic workflows into backend and front-end services. Qualifications 8+ years of software engineering experience building and operating production platform or infrastructure services at scale. Deep expertise in a modern backend stack (Go Preferred) and in designing resilient, well-instrumented distributed systems and APIs.  Deep expertise in Front end stack (React preferred).  A strong track record designing platform integrations and managing API contracts, versioning, and backward compatibility across many consuming teams. Hands-on experience with CI/CD and progressive delivery (Argo CD, canary/blue-green rollouts) and with cloud-native infrastructure (AWS, Kubernetes). Fluency in operational excellence — observability, on-call, incident response, and using production signal to drive reliability improvements. Demonstrated technical leadership: driving cross-team alignment, influencing without authority, and raising the engineering bar through design and mentorship. Excellent written and verbal communication, and the judgment to balance delivery speed against long-term platform health. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.  The expected base pay range for this position is: Mountain View $202,500 - $274,000