AI Product Owner Jobs in California
AI Product Owner jobs in California are among the most actively recruited technology roles in the country, concentrated in enterprise software, fintech, healthtech, and consumer platforms across the full range from associate product manager through director-level. San Francisco, Los Angeles, and San Diego are the primary hiring hubs, where established names like Google, Salesforce, and Qualcomm maintain large product organizations and consistently bring on ai product owners. The most in-demand specialties are generative AI product development, AI/ML platform ownership, and enterprise AI integration. Find a role that fits below and apply directly.
Find AI Product Owner JobsOverview
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 California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Product Owner JobsAI Product Owner Jobs by City in California
Where California roles are concentrated, by current openings.
AI Product Owner Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- TikTok30
- Meta13
- Google13
- ServiceNow13
- Palo Alto Networks10
Top Industries Hiring
- Technology & Software45
- Retail2
- Science & Research2
- Banking & Financial Services2
- Education1
What California Employers Look For
The qualifications that appear most often in AI product owner jobs across California.
- Bachelor's degree in computer science, engineering, or a related technical field required
- Three or more years of product management experience with AI, ML, or data products
- Demonstrated ability to write product requirements and manage an agile development backlog
- Experience collaborating directly with data scientists and machine learning engineers on shipped products
- Familiarity with model evaluation, responsible AI principles, and AI governance frameworks
- Strong cross-functional communication skills bridging technical teams and business stakeholders
AI Product Owner Jobs in California: Frequently Asked Questions
How do you become a ai product owner in California?
Most ai product owners in California enter through a bachelor's degree in computer science, data science, or engineering, then move into a product role after working in software engineering, data analytics, or UX. California has no state-issued license for this role. Employers treat certifications like the Certified Scrum Product Owner (CSPO) or the AIPMM Certified AI Product Manager credential as meaningful differentiators, and a portfolio of shipped AI-adjacent features carries considerable weight in the California hiring market.
Which companies hire ai product owners in California?
Employers hiring ai product owners in California right now include TikTok, Meta, and Google, based on current listings on Migrate Mate as of November 2026. California's density of enterprise software, cloud infrastructure, and consumer technology companies means product roles at every seniority level cycle through the market throughout the year.
Which California cities have the most ai product owner jobs?
San Francisco, San Jose, and Santa Clara have the most ai product owner openings in California. San Francisco's concentration of AI-native startups and major cloud platforms drives the bulk of the volume, while Los Angeles reflects growth in media technology and e-commerce, and San Diego pulls demand from its established biotech, defense technology, and wireless communications sectors.
Are there remote ai product owner jobs in California?
Yes, and more than most fields. About 68% of ai product owner openings tied to California are remote or hybrid as of November 2026, reflecting how thoroughly the role shifted during and after the pandemic. Discovery research and stakeholder interviews occasionally require in-person presence, but roadmap planning, sprint ceremonies, and cross-functional collaboration are largely conducted remotely across California's product community.
How can I get hired as a ai product owner in California with little or no experience?
The most realistic entry path is moving laterally from an adjacent role such as business analyst, software engineer, or UX researcher into an associate product manager position. Large California-based technology employers including Google and Salesforce run structured APM programs specifically designed for candidates without direct product experience. Building a public portfolio of AI product case studies and earning a Certified Scrum Product Owner credential gives early-career candidates a concrete edge when applying to California's product teams.
Where can I find and apply to ai product owner jobs in California?
You can find and apply to ai product owner jobs in California on Migrate Mate, which lists current openings tied to California employers and locations. Find roles that fit your background and apply directly to the ones that match.
See All 319+ AI Product Owner Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Product Owner Jobs