AI Product Owner Jobs
AI Product Owner jobs are open across fintech, healthtech, enterprise software, and retail technology, at every level from associate to principal, with specializations in generative AI, machine learning platforms, and AI-driven product strategy. Find a role that fits from the openings below and apply directly.
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Showing 5 of 993+ AI Product Owner jobs
Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?
The Team
Why will you enjoy this new opportunity?
You will sit at the intersection of Product, IT, and the broader business, helping the team focus on the highest-value work. This role combines classic technical product management with hands-on Enterprise AI delivery: you will create clarity from intake, shape roadmaps, communicate tradeoffs, and personally test and validate the automations and agents that improve how work gets done. You will partner with technical and business leaders in a fast-moving environment where thoughtful experimentation and operational rigor matter.
The Role
What type of work will you be doing:
- Own the project and product intake process for Enterprise AI and IT; create lightweight standards for requests, discovery, prioritization, sizing, and decision-making.
- Maintain and communicate a clear roadmap across IT platforms, internal tools, AI capabilities, and automation initiatives; make dependencies, risks, milestones, and tradeoffs visible.
- Lead cross-functional initiatives from problem definition through launch and adoption, coordinating Engineering, IT, Security, Data, Legal/Compliance, Operations, and business stakeholders.
- Translate business pain points into well-defined opportunities, requirements, user stories, success measures, acceptance criteria, and delivery plans.
- Identify, evaluate, and lead Enterprise AI use cases, including workflow automation, knowledge assistants, copilots, and task-oriented agents.
- Be hands-on with AI automation and agents: design test scenarios, create representative test data, evaluate accuracy, reliability, and safety, document findings, and drive improvements before release.
- Establish practical validation and monitoring approaches for prompts, tools, permissions, data access, human-in-the-loop controls, and failure modes.
- Coordinate pilots and rollouts; manage change communications, enablement, documentation, and feedback loops so solutions are adopted and produce measurable value.
- Provide concise executive and stakeholder communications on progress, decisions, outcomes, and risks; partner with IT on platform and vendor evaluations, integrations, incident follow-up, and operational readiness.
What You'll Bring
Your experience and strengths:
- 5+ years of product management, technical program management, business systems, IT, or related experience, with a track record of delivering cross-functional technology initiatives.
- Experience running AI enablement and transformation initiatives from pilot to production.
- Curiosity, pragmatism, and a builder mindset; willing to get into the details, learn new tools quickly, and improve the system after every iteration.
- Experience managing an intake process and roadmap across multiple stakeholders, balancing strategic priorities with urgent operational needs.
- Working knowledge of enterprise IT concepts, SaaS applications, integrations and APIs, identity and access management, data flows, security, and change management.
- Hands-on experience evaluating AI products, automation workflows, or agents; comfortable testing real scenarios, probing edge cases, and separating demos from dependable solutions.
- Strong understanding of AI quality and risk considerations, including accuracy, groundedness, privacy, permissions, security, reliability, observability, and human oversight.
- Ability to turn ambiguous business problems into clear product requirements, experiments, acceptance criteria, and measurable outcomes.
- Strong written and verbal communication skills; able to tailor a message for executives, technical teams, and business users.
- Strong judgment, organization, and follow-through; comfortable making progress with incomplete information and changing priorities.
- Experience in a startup, high-growth, or software/SaaS company is ideal.
Language for US is"The estimated gross base annual salary range for this role is 101 000 - 127 000 USD per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available." (
As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.
Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.
Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.
Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?
The Team
Why will you enjoy this new opportunity?
You will sit at the intersection of Product, IT, and the broader business, helping the team focus on the highest-value work. This role combines classic technical product management with hands-on Enterprise AI delivery: you will create clarity from intake, shape roadmaps, communicate tradeoffs, and personally test and validate the automations and agents that improve how work gets done. You will partner with technical and business leaders in a fast-moving environment where thoughtful experimentation and operational rigor matter.
The Role
What type of work will you be doing:
- Own the project and product intake process for Enterprise AI and IT; create lightweight standards for requests, discovery, prioritization, sizing, and decision-making.
- Maintain and communicate a clear roadmap across IT platforms, internal tools, AI capabilities, and automation initiatives; make dependencies, risks, milestones, and tradeoffs visible.
- Lead cross-functional initiatives from problem definition through launch and adoption, coordinating Engineering, IT, Security, Data, Legal/Compliance, Operations, and business stakeholders.
- Translate business pain points into well-defined opportunities, requirements, user stories, success measures, acceptance criteria, and delivery plans.
- Identify, evaluate, and lead Enterprise AI use cases, including workflow automation, knowledge assistants, copilots, and task-oriented agents.
- Be hands-on with AI automation and agents: design test scenarios, create representative test data, evaluate accuracy, reliability, and safety, document findings, and drive improvements before release.
- Establish practical validation and monitoring approaches for prompts, tools, permissions, data access, human-in-the-loop controls, and failure modes.
- Coordinate pilots and rollouts; manage change communications, enablement, documentation, and feedback loops so solutions are adopted and produce measurable value.
- Provide concise executive and stakeholder communications on progress, decisions, outcomes, and risks; partner with IT on platform and vendor evaluations, integrations, incident follow-up, and operational readiness.
What You'll Bring
Your experience and strengths:
- 5+ years of product management, technical program management, business systems, IT, or related experience, with a track record of delivering cross-functional technology initiatives.
- Experience running AI enablement and transformation initiatives from pilot to production.
- Curiosity, pragmatism, and a builder mindset; willing to get into the details, learn new tools quickly, and improve the system after every iteration.
- Experience managing an intake process and roadmap across multiple stakeholders, balancing strategic priorities with urgent operational needs.
- Working knowledge of enterprise IT concepts, SaaS applications, integrations and APIs, identity and access management, data flows, security, and change management.
- Hands-on experience evaluating AI products, automation workflows, or agents; comfortable testing real scenarios, probing edge cases, and separating demos from dependable solutions.
- Strong understanding of AI quality and risk considerations, including accuracy, groundedness, privacy, permissions, security, reliability, observability, and human oversight.
- Ability to turn ambiguous business problems into clear product requirements, experiments, acceptance criteria, and measurable outcomes.
- Strong written and verbal communication skills; able to tailor a message for executives, technical teams, and business users.
- Strong judgment, organization, and follow-through; comfortable making progress with incomplete information and changing priorities.
- Experience in a startup, high-growth, or software/SaaS company is ideal.
Language for US is"The estimated gross base annual salary range for this role is 101 000 - 127 000 USD per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available." (
As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.
Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.
Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.
AI Product Owner Jobs by Experience Level
Top Cities Hiring AI Product Owners
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Find AI Product Owner JobsAI Product Owner Job Market
Who's Hiring
- American Heart Association91
- CVS Health50
- TikTok25
- Google24
- Amazon16
Top Industries Hiring
- Technology & Software117
- Insurance13
- Consulting & Professional Services13
- Banking & Financial Services9
- Electronics & Hardware7
What Employers Look For
The qualifications that appear most often in AI product owner jobs.
- 3 or more years of product management experience in an AI or ML-driven product environment
- Ability to write and prioritize requirements for model training, evaluation, and deployment workflows
- Familiarity with machine learning concepts including model versioning, drift detection, and inference pipelines
- Experience working cross-functionally with data scientists, ML engineers, and applied research teams
- Proficiency with product discovery and roadmap tools such as Jira, Productboard, or Aha
- Bachelor's degree in computer science, engineering, data science, or a related quantitative field
Tips for Your AI Product Owner Job Search
Quantify AI product outcomes on your resume
AI product owner resumes that stand out show measurable impact: model deployment timelines, adoption rates, or reduction in manual review hours. Generic descriptions of roadmap ownership won't differentiate you when every candidate claims the same responsibilities.
Distinguish PM experience from AI product experience
Many postings screen for hands-on work with ML lifecycle tools like feature stores, model registries, or labeling pipelines. If your background is adjacent, name the specific AI systems you collaborated on, not just the product outcomes.
Apply early to roles that fit
Migrate Mate lists ai product owner openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by technical stack requirements
AI product owner roles vary widely. Some require fluency with LLM APIs and prompt evaluation frameworks. Others focus on computer vision or recommender systems. Sorting by required tools early saves you from tailoring applications to roles that don't match your stack.
Prepare a product critique of an AI feature
Interviewers for ai product owner roles frequently ask you to critique an existing AI product decision, like a recommendation algorithm or a chatbot design. Having two or three sharp, specific critiques ready shows product judgment that generic case prep won't cover.
Negotiate for data access and compute budget
When evaluating an offer, ask directly about access to training data, annotation resources, and cloud compute budgets. These constraints shape whether your roadmap is executable, and experienced ai product owners treat them as negotiation points alongside compensation.
AI Product Owner Jobs: Frequently Asked Questions
Which companies are hiring the most ai product owners?
The companies hiring the most ai product owners right now include American Heart Association, CVS Health, and TikTok, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of September 2026. Demand is concentrated at companies actively building or scaling internal AI platforms and customer-facing AI features.
How many ai product owner jobs are remote?
About 79% of ai product owner openings are fully remote or hybrid as of September 2026, reflecting the role's strong overlap with distributed engineering and data science teams. Sub-areas focused on generative AI products and LLM integration tend to have the highest share of remote-eligible postings.
How do you become an ai product owner?
Start by building foundational product management experience, then move into roles where you collaborate directly with data scientists or ML engineers. Learn the basics of model evaluation, data labeling, and inference workflows so you can write meaningful requirements. Contributing to AI feature launches, even in a supporting role, gives you the portfolio evidence most hiring managers want to see.
Can you get hired as an ai product owner with little experience?
Yes, especially if you can show specific involvement in an AI or data product, even in a junior or associate PM role. Hiring managers often weigh a demonstrated understanding of ML tradeoffs, like precision versus recall or latency versus accuracy, more heavily than years of experience. Building a side project that uses a public API or open dataset and documenting your product decisions is a practical way to close the gap.
What does the ai product owner interview process look like?
Most processes include a recruiter screen, a hiring manager conversation focused on your AI product background, and one or two structured rounds covering product critique, technical scoping with an ML engineer, and a cross-functional collaboration scenario. Some companies add a take-home exercise asking you to define success metrics or write a requirements document for a hypothetical AI feature before the final round.
Where can I find and apply to ai product owner jobs?
You can find and apply to ai product owner jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the page.
See All 993+ AI Product Owner Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Product Owner Jobs