AI Product Owner Jobs in San Francisco, CA
AI Product Owner jobs in San Francisco are concentrated in SoMa, the Financial District, and Mission Bay, where demand from AI-native startups, enterprise software firms, and life sciences technology companies keeps openings active year-round. Employers hiring right now include CRUSOE, Rippling, and Meta. Find a role that fits below and apply directly.
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Showing 5 of 319+ AI Product Owner jobs
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 10 years of product management experience at a technology company, including experience driving zero-to-one products from concept to adoption.
- 3 years of experience in people management, leading product managers and cross-functional teams.
- Experience building products for designers, product managers, researchers, or other creative professionals (e.g., design tools, prototyping, research, or collaboration platforms).
- Experience shipping products powered by Large Language Models (LLMs) or AI agents.
Preferred qualifications:
- Experience shipping agentic products with measurable quality, including defining evaluations and metrics and improving against them.
- Experience building platforms and extensibility models, such as plugins, APIs, and design-system integrations.
- Experience driving adoption and behavior change across large, user communities, including non-engineers.
- Understanding of the product development lifecycle and empathy for design and research craft, with strong product and design taste.
- Technical acumen to collaborate with engineers and researchers, and prototyping with AI tools.
- Ability to align stakeholders across organizations, influence without authority, and complex ideas to senior leadership.
About the job
AI has changed how software gets written at Google. Coding is much faster, so the rest of the product development lifecycle (PDLC) is now the bottleneck. When building is cheap, the most expensive mistake is building the wrong thing, yet deciding what to build still runs at human speed on tools built for a pre-agentic world. Work AI, part of Dev AI, exists to change that.
You will direct product for PDLC Tooling, the agentic tools Google's designers, Product Managers (PMs), and User Experience (UX) researchers use to decide what to build and how it should work. Unlike engineers, they lack a single source of truth and a mature toolchain. Evidence is scattered, static mocks hide real behavior, alternatives are costly to explore, and design intent is lost. Our goal is to make it cheap, so what ships are the best of many options, not the first one that worked.
This role builds on early momentum: our internal tools let teams design and prototype directly on production code, and collaborative canvases provide high-fidelity prototyping and feedback. Your mandate is to scale this work across Google, unite partner efforts across Core, Search, and DeepMind into one coherent experience, and extend it to every UX, PM, and research workflow.
US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Set the goal, strategy, and roadmap for PDLC Tooling. Build and lead a team of PMs while personally owning the zero-to-one initiatives.
- Scale production-grounded prototyping so teams explore high-fidelity variants on real design systems and data, and carry the winning design into production code.
- Bring agents into PM and UX research workflows, from evidence-backed briefs and living plans to synthetic users, AI-moderated research, and scaled experiments.
- Open a guardrailed path for non-engineers to ship well-scoped changes to production, and partner with DeepMind on design evaluations so internal usage improves Gemini.
- Engage lighthouse teams to iterate quickly, own north-star metrics such as time from intent to validated prototype, and lead the narrative for how Google builds in the agentic era.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 10 years of product management experience at a technology company, including experience driving zero-to-one products from concept to adoption.
- 3 years of experience in people management, leading product managers and cross-functional teams.
- Experience building products for designers, product managers, researchers, or other creative professionals (e.g., design tools, prototyping, research, or collaboration platforms).
- Experience shipping products powered by Large Language Models (LLMs) or AI agents.
Preferred qualifications:
- Experience shipping agentic products with measurable quality, including defining evaluations and metrics and improving against them.
- Experience building platforms and extensibility models, such as plugins, APIs, and design-system integrations.
- Experience driving adoption and behavior change across large, user communities, including non-engineers.
- Understanding of the product development lifecycle and empathy for design and research craft, with strong product and design taste.
- Technical acumen to collaborate with engineers and researchers, and prototyping with AI tools.
- Ability to align stakeholders across organizations, influence without authority, and complex ideas to senior leadership.
About the job
AI has changed how software gets written at Google. Coding is much faster, so the rest of the product development lifecycle (PDLC) is now the bottleneck. When building is cheap, the most expensive mistake is building the wrong thing, yet deciding what to build still runs at human speed on tools built for a pre-agentic world. Work AI, part of Dev AI, exists to change that.
You will direct product for PDLC Tooling, the agentic tools Google's designers, Product Managers (PMs), and User Experience (UX) researchers use to decide what to build and how it should work. Unlike engineers, they lack a single source of truth and a mature toolchain. Evidence is scattered, static mocks hide real behavior, alternatives are costly to explore, and design intent is lost. Our goal is to make it cheap, so what ships are the best of many options, not the first one that worked.
This role builds on early momentum: our internal tools let teams design and prototype directly on production code, and collaborative canvases provide high-fidelity prototyping and feedback. Your mandate is to scale this work across Google, unite partner efforts across Core, Search, and DeepMind into one coherent experience, and extend it to every UX, PM, and research workflow.
US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Set the goal, strategy, and roadmap for PDLC Tooling. Build and lead a team of PMs while personally owning the zero-to-one initiatives.
- Scale production-grounded prototyping so teams explore high-fidelity variants on real design systems and data, and carry the winning design into production code.
- Bring agents into PM and UX research workflows, from evidence-backed briefs and living plans to synthetic users, AI-moderated research, and scaled experiments.
- Open a guardrailed path for non-engineers to ship well-scoped changes to production, and partner with DeepMind on design evaluations so internal usage improves Gemini.
- Engage lighthouse teams to iterate quickly, own north-star metrics such as time from intent to validated prototype, and lead the narrative for how Google builds in the agentic era.
See All 319+ AI Product Owner Jobs in San Francisco
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Find AI Product Owner JobsAI Product Owner Job Market in San Francisco
Who's Hiring
- CRUSOE13
- Rippling13
- Meta10
- Retool10
- Okta10
Top Industries Hiring
- Technology & Software61
- Science & Research6
- Banking & Financial Services6
- Education3
- Healthcare & Medical Services3
AI Product Owner Jobs in San Francisco: Frequently Asked Questions
How do I get a ai product owner job in San Francisco?
The strongest path into San Francisco ai product owner roles runs through the city's dense AI and enterprise software ecosystem in SoMa, Mission Bay, and the Financial District. Candidates with hands-on experience shipping AI-powered features, familiarity with LLM tooling, and cross-functional fluency stand out most. Targeting growth-stage AI startups alongside established platform companies broadens your options and builds a faster pipeline than focusing on one employer type alone.
Which companies hire ai product owners in San Francisco?
San Francisco ai product owner roles are posted by CRUSOE, Rippling, and Meta and others right now, based on current listings on Migrate Mate as of November 2026. The local market skews heavily toward AI-native startups, cloud infrastructure firms, and large consumer technology companies headquartered or with major offices in the city.
Are there remote ai product owner jobs in San Francisco?
Yes, ai product owner work is generally well-suited to remote and hybrid arrangements because the role centers on strategy, documentation, and cross-functional communication rather than physical presence. About 75% of ai product owner openings tied to San Francisco are remote or hybrid as of November 2026, reflecting the city's tech-forward culture. Discovery and stakeholder alignment work remains the most commonly distributed function across San Francisco-based teams.
How can I get a ai product owner job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is a lateral move from a technical or analytical role, such as a software engineer, data analyst, or UX researcher, at one of the city's many growth-stage AI startups that need generalist product contributors quickly. Associate PM and rotational product programs at larger Mission Bay and SoMa employers also hire candidates without direct product ownership history. Building a portfolio of AI feature concepts tied to real user problems in sectors local employers care about, like developer tooling or health tech, sharpens your application significantly.
Which industries hire the most ai product owners in San Francisco?
San Francisco ai product owner roles concentrate in Technology & Software, Science & Research, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. San Francisco's identity as the global center of generative AI development means these sectors compete intensely for product talent with hands-on machine learning and data platform experience.
Related Jobs in California
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