AI Product Manager Jobs in California
AI Product Manager jobs in California are among the most actively recruited roles in the country, with demand concentrated in enterprise software, consumer technology, and AI infrastructure across seniority levels from associate through staff and principal. San Francisco, Los Angeles, and San Diego are the primary hiring centers, anchored by employers like Google, Salesforce, and Qualcomm. The most sought-after specializations in California are generative AI product development, ML platform management, and AI-powered enterprise tooling. 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 312+ AI Product Manager Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Product Manager JobsAI Product Manager Jobs by City in California
Where California roles are concentrated, by current openings.
AI Product Manager Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple37
- NVIDIA26
- Google18
- Adobe15
- Intuit10
Top Industries Hiring
- Technology & Software164
- Electronics & Hardware42
- Banking & Financial Services15
- Consulting & Professional Services15
- Science & Research11
What California Employers Look For
The qualifications that appear most often in AI product manager jobs across California.
- Bachelor's degree in computer science, engineering, or a closely related technical field
- Demonstrated experience defining and shipping AI or machine learning products end to end
- Proficiency with product management frameworks including roadmapping, prioritization, and OKRs
- Ability to collaborate with data scientists and ML engineers on model evaluation and deployment
- Experience writing clear product requirements and working across cross-functional California-based teams
- Familiarity with responsible AI principles, data privacy standards, and California Consumer Privacy Act requirements
AI Product Manager Jobs in California: Frequently Asked Questions
How do you become a ai product manager in California?
AI product manager roles in California do not require a state-issued license, but most employers expect a bachelor's degree in computer science, engineering, or a related technical field alongside hands-on product experience. Many California hiring managers look for candidates who have completed product management certifications from programs offered through institutions like UC Berkeley Extension or Stanford Continuing Studies, or who hold credentials such as the Certified Product Manager designation. Building a portfolio of shipped AI features or ML integrations strengthens any application significantly.
Which companies hire ai product managers in California?
Employers hiring ai product managers in California right now include Apple, NVIDIA, and Google, based on current listings on Migrate Mate as of June 2026. California's density of AI-native startups and large technology headquarters means the pipeline of openings refreshes frequently and includes both early-stage companies and publicly traded enterprises with dedicated AI product organizations.
Which California cities have the most ai product manager jobs?
San Francisco, Santa Clara, and San Jose have the most ai product manager openings in California. San Francisco dominates because of its concentration of AI-native companies and major technology headquarters, while Los Angeles draws openings from entertainment technology, adtech, and a fast-growing startup ecosystem, and San Diego's strong presence in defense technology and biotech creates demand for AI product managers in specialized verticals.
Are there remote ai product manager jobs in California?
Yes, and more than most fields. About 28% of ai product manager openings tied to California are remote or hybrid as of June 2026, reflecting how much of the work involves asynchronous collaboration, roadmap documentation, and cross-functional coordination that translates well to distributed teams. Strategic and analytical responsibilities tend to be the most remote-friendly, while roles requiring frequent in-person collaboration with research or hardware teams typically stay on-site.
How can I get hired as a ai product manager in California with little or no experience?
The most realistic entry path is moving from a related technical or analytical role, such as data analyst, software engineer, or UX researcher, into an associate product manager position. Large California technology companies including Google, Meta, and Salesforce run structured Associate Product Manager programs specifically designed for candidates without direct PM experience. Completing a product management certification through UC Berkeley Extension or a recognized online program, contributing to open-source AI projects, and building a portfolio demonstrating product thinking on AI tools give candidates a concrete edge.
Where can I find and apply to ai product manager jobs in California?
You can find and apply to ai product manager jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the listings for roles that match your experience level, preferred city, and specialization, then apply directly to the ones that fit.
See All 312+ AI Product Manager Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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