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.
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Senior AI Product Owner - R01566192
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Job Requirements
We are seeking a Senior Product Owner with a strong AI and analytics background to work onsite in Santa Ana, CA, leading AI-driven product initiatives for a strategic client in the construction and built-environment domain.
This role is highly client-facing and delivery-oriented, requiring close collaboration with construction SMEs, business stakeholders, and engineering teams. The ideal candidate brings strong product ownership skills, hands-on understanding of AI/ML solutions, and nice-to-have domain exposure to Division 8 (doors, frames, hardware, glazing systems).
Key Responsibilities
Product Ownership & Delivery
- Own the product backlog, roadmap, and sprint priorities for AI and analytics initiatives.
- Translate business needs into detailed user stories, acceptance criteria, and product requirements.
- Drive sprint planning, backlog grooming, demos, and release readiness.
- Ensure predictable delivery, quality outcomes, and alignment with client priorities.
AI & Analytics Enablement
- Lead AI-enabled use cases including:
- Predictive and operational analytics
- Machine Learning solutions
- Computer Vision (drawings, images, site inspections)
- Document intelligence, OCR, and GenAI / LLM-based applications
- Collaborate closely with data science and engineering teams on solution design, experimentation, and production deployment.
- Support AI lifecycle governance, performance tracking, and continuous improvement.
Construction Domain Engagement
- Work onsite with client stakeholders across construction operations, estimation, procurement, and project delivery.
- Apply construction domain context to shape meaningful AI and analytics features.
- Leverage Division 8 knowledge (doors, frames, hardware, glazing, access systems) where applicable to inform product decisions.
- Bridge communication between construction SMEs and technical delivery teams.
Client & Stakeholder Management
- Act as the primary onsite point of contact for product-related discussions.
- Facilitate workshops, requirement discussions, and solution walkthroughs.
- Provide regular updates on progress, risks, and dependencies to client leadership.
- Coordinate effectively with offshore and near-shore delivery teams.
Required Qualifications
Experience
- 8–12+ years of overall experience across product management, analytics, AI/ML, or enterprise technology delivery.
- 4–6+ years of experience as a Product Owner or Product Manager for data- or AI-driven products.
- Proven experience working onsite with US clients, preferably in consulting or enterprise delivery environments.
- Early-career hands-on experience in analytics, data engineering, data science, or software engineering.
Technical Skills
- Strong understanding of:
- AI/ML concepts and solution lifecycles
- Analytics platforms and data ecosystems
- Cloud platforms (GCP, Azure, or AWS)
- APIs, data pipelines, and system integrations
- Ability to translate technical concepts into clear business-focused outcomes.
Good to Have / Preferred
- Experience in the construction or built-environment industry.
- Division 8 domain knowledge (doors, frames, hardware, glazing systems).
- Exposure to ConTech platforms, BIM/CAD workflows, or blueprint/document analytics.
- Experience applying Computer Vision or GenAI in industrial or operational settings.
Band C Expectations
- Strong individual contributor with end-to-end ownership of product delivery.
- Comfortable working independently in an onsite client environment.
- Hands-on in backlog management, requirement definition, and stakeholder engagement.
Work Location & Travel
- This is an onsite role based in Santa Ana, California.
- Presence at the client location is required.
- Occasional travel within the US may be needed based on project demands.
Education
- Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Analytics, or related field.
- Product management or agile certifications (CSPO, SAFe POPM, etc.) are a plus.
Equal Employment Opportunity Declaration
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
Salary: 165,000-170,000 USD per year salary
Senior AI Product Owner - R01566192
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Job Requirements
We are seeking a Senior Product Owner with a strong AI and analytics background to work onsite in Santa Ana, CA, leading AI-driven product initiatives for a strategic client in the construction and built-environment domain.
This role is highly client-facing and delivery-oriented, requiring close collaboration with construction SMEs, business stakeholders, and engineering teams. The ideal candidate brings strong product ownership skills, hands-on understanding of AI/ML solutions, and nice-to-have domain exposure to Division 8 (doors, frames, hardware, glazing systems).
Key Responsibilities
Product Ownership & Delivery
- Own the product backlog, roadmap, and sprint priorities for AI and analytics initiatives.
- Translate business needs into detailed user stories, acceptance criteria, and product requirements.
- Drive sprint planning, backlog grooming, demos, and release readiness.
- Ensure predictable delivery, quality outcomes, and alignment with client priorities.
AI & Analytics Enablement
- Lead AI-enabled use cases including:
- Predictive and operational analytics
- Machine Learning solutions
- Computer Vision (drawings, images, site inspections)
- Document intelligence, OCR, and GenAI / LLM-based applications
- Collaborate closely with data science and engineering teams on solution design, experimentation, and production deployment.
- Support AI lifecycle governance, performance tracking, and continuous improvement.
Construction Domain Engagement
- Work onsite with client stakeholders across construction operations, estimation, procurement, and project delivery.
- Apply construction domain context to shape meaningful AI and analytics features.
- Leverage Division 8 knowledge (doors, frames, hardware, glazing, access systems) where applicable to inform product decisions.
- Bridge communication between construction SMEs and technical delivery teams.
Client & Stakeholder Management
- Act as the primary onsite point of contact for product-related discussions.
- Facilitate workshops, requirement discussions, and solution walkthroughs.
- Provide regular updates on progress, risks, and dependencies to client leadership.
- Coordinate effectively with offshore and near-shore delivery teams.
Required Qualifications
Experience
- 8–12+ years of overall experience across product management, analytics, AI/ML, or enterprise technology delivery.
- 4–6+ years of experience as a Product Owner or Product Manager for data- or AI-driven products.
- Proven experience working onsite with US clients, preferably in consulting or enterprise delivery environments.
- Early-career hands-on experience in analytics, data engineering, data science, or software engineering.
Technical Skills
- Strong understanding of:
- AI/ML concepts and solution lifecycles
- Analytics platforms and data ecosystems
- Cloud platforms (GCP, Azure, or AWS)
- APIs, data pipelines, and system integrations
- Ability to translate technical concepts into clear business-focused outcomes.
Good to Have / Preferred
- Experience in the construction or built-environment industry.
- Division 8 domain knowledge (doors, frames, hardware, glazing systems).
- Exposure to ConTech platforms, BIM/CAD workflows, or blueprint/document analytics.
- Experience applying Computer Vision or GenAI in industrial or operational settings.
Band C Expectations
- Strong individual contributor with end-to-end ownership of product delivery.
- Comfortable working independently in an onsite client environment.
- Hands-on in backlog management, requirement definition, and stakeholder engagement.
Work Location & Travel
- This is an onsite role based in Santa Ana, California.
- Presence at the client location is required.
- Occasional travel within the US may be needed based on project demands.
Education
- Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Analytics, or related field.
- Product management or agile certifications (CSPO, SAFe POPM, etc.) are a plus.
Equal Employment Opportunity Declaration
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
Salary: 165,000-170,000 USD per year salary
See All 126+ 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
- NVIDIA8
- Apple7
- Adobe6
- Intuit5
- Netflix5
Top Industries Hiring
- Technology & Software81
- Electronics & Hardware15
- Media & Entertainment5
- Artificial Intelligence4
- Consulting & Professional Services4
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 NVIDIA, Apple, and Adobe, based on current listings on Migrate Mate as of June 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 29% of ai product owner openings tied to California are remote or hybrid as of June 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 126+ 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