AI Product Manager Jobs in San Francisco, CA
AI Product Manager jobs in San Francisco are in high demand, concentrated in SoMa, the Financial District, and Mission Bay across AI infrastructure, enterprise SaaS, and consumer technology. Employers hiring right now include CRUSOE, Rippling, and Meta. See the openings below and apply to the ones that match your experience.
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Showing 5 of 351+ AI Product Manager 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 351+ AI Product Manager Jobs in San Francisco
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Find AI Product Manager JobsAI Product Manager Job Market in San Francisco
Who's Hiring
- CRUSOE14
- Rippling14
- Meta10
- Retool10
- Innovaccer10
Top Industries Hiring
- Technology & Software65
- Science & Research7
- Banking & Financial Services7
- Education3
- Healthcare & Medical Services3
AI Product Manager Jobs in San Francisco: Frequently Asked Questions
How do I get a ai product manager job in San Francisco?
Focus on San Francisco's dense cluster of AI-native startups in SoMa and Mission Bay, as well as the larger platform companies headquartered in the Financial District and Civic Center area. Candidates who can demonstrate hands-on experience with machine learning product cycles, cross-functional alignment on model deployment, and fluency with AI ethics frameworks stand out most in this market.
Which companies hire ai product managers in San Francisco?
San Francisco ai product manager roles are posted by CRUSOE, Rippling, and Meta and others right now, based on current listings on Migrate Mate as of November 2026. The city's employer mix skews heavily toward AI-first startups, major cloud platform companies, and enterprise software firms with dedicated machine learning divisions.
Are there remote ai product manager jobs in San Francisco?
Yes, ai product manager work is well suited to remote and hybrid arrangements given its analytical and strategic nature. About 75% of ai product manager openings tied to San Francisco are remote or hybrid as of November 2026, reflecting the tech sector's continued flexibility. Roles focused on roadmap strategy and stakeholder alignment tend to offer the most location flexibility locally.
How can I get a ai product manager job in San Francisco with little or no experience?
The most realistic entry path is moving laterally from a data analyst, technical program manager, or software engineer role at one of San Francisco's many mid-stage AI startups, which often promote from within. Entry-level associate PM or product operations roles at companies in SoMa and the Dogpatch area regularly hire candidates with strong analytical portfolios, even without formal product management titles.
Which industries hire the most ai product managers in San Francisco?
Most ai product manager openings in San Francisco sit in Technology & Software, Science & Research, and Banking & Financial Services, per current listings on Migrate Mate as of November 2026. San Francisco's concentration of AI research labs, fintech platforms, and enterprise cloud companies creates sustained demand across all three sectors year-round.
Related Jobs in California
See All 351+ AI Product Manager Jobs in San Francisco
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