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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Your Job
We are seeking a highly collaborative, value-driven and experienced individual to join the Molex Digital Data & AI capability as AI Strategy and Leader working in Data and AI organization. This is a highly visible, strategic and hands-on leadership role that will oversee innovation, development and delivery of applied and agentic AI solutions at Molex. Leading a multifaceted team, you will have end-to-end accountability for AI technology and platform strategy & innovation, project delivery, and talent development. You will be expected to foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, data & AI business partners, data engineering and integration teams. You will establish and execute the vision and roadmap for robust, agile, and compliant AI technology and solutions, ensuring strong governance practices and operational excellence in delivering impactful AI to drive performance to defined business outcomes. This role defines and operationalizes the enterprise AI strategy, architecture, and learning ecosystem in direct support of the company's core business priorities.
Our Team
Our Team Molex is a leading provider of electronic solutions, committed to innovation and excellence. Our team is dedicated to delivering high-quality products and services to our customers worldwide. Join us and be part of a dynamic and forward-thinking organization.
What You Will Do
- AI Leadership and direction: Provide leadership in developing, maintaining, and governing the AI platform and technology to enable secure, scalable, and compliant AI applications throughout Molex's global operations, spanning Supply Chain, Manufacturing, Product Development, business divisions and supporting capabilities.
- Talent Management: Lead, mentor and manage a diverse global team of data scientists, AI engineers and architects. Build a pipeline of talent that can take on increasingly complex projects and lead collaboration initiatives (AI Developers Community of Practice (CoP), technical upskilling, peer review, etc.).
- Operations Excellence: Oversee the delivery lifecycle from requirements discovery, solution design, and through deployment and monitoring of productionized data science and AI applications (MLOps/AIOps).
- AI Technology & Architecture: Provide architectural assurance for AI initiatives in flight. Review designs for scalability, security, and sustainability. Partner with Enterprise Architecture and Architecture Review Board. Prevent technology fragmentation and sprawl.
- AI Governance: Lead and champion best practices in AI governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GDPR, CMMC, PIPL, responsible use of AI etc.) as well as AI FINOPS.
- Partnership and Literacy: Foster partnerships with digital and technology leaders, and external collaborators to accelerate the AI enabled solution delivery and development. Serve as a thought leader for education, awareness, and innovation in enterprise applied and agentic AI. Create POVs and framework for responsible and safe use of AI and create accountability models for AI costs.
Who You Are (Basic Qualifications)
- Significant experience leading multi-disciplinary teams delivering enterprise-scale AI platforms and applications, preferably in with experience in global hi-tech manufacturing organizations.
- Deep expertise in data science methods (ML, AI, statistics) and AI engineering (cloud, MLOps, pipeline orchestration), with mastery of technology and platforms such as Snowflake, Python, R, AWS SageMaker, Spark, orchestration platforms etc.
- Demonstrated ability to define and execute governance frameworks for responsible AI, model lifecycle management, and regulatory compliance.
- Proven ability to drive innovation (whitepapers, roadmaps), develop cross-functional partnerships, and support technology transfer initiatives to embed AI into core business processes.
- Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning. Excellent interpersonal skills to work effectively with global groups and to build relationships in a fast-paced environment.
- Self-driven, highly adaptable, and able to quickly master new domains and tools in response to emerging business or technology trends.
- Excellent written, verbal and listening skills for clear and concise communication, documentation, and project management. Keen attention to detail. Strong organizational skills and the ability to manage multiple competing priorities.
For this role, we anticipate paying $150,000 - $250,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form. At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.
Who We Are
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here, aquí, or tu).
Your Job
We are seeking a highly collaborative, value-driven and experienced individual to join the Molex Digital Data & AI capability as AI Strategy and Leader working in Data and AI organization. This is a highly visible, strategic and hands-on leadership role that will oversee innovation, development and delivery of applied and agentic AI solutions at Molex. Leading a multifaceted team, you will have end-to-end accountability for AI technology and platform strategy & innovation, project delivery, and talent development. You will be expected to foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, data & AI business partners, data engineering and integration teams. You will establish and execute the vision and roadmap for robust, agile, and compliant AI technology and solutions, ensuring strong governance practices and operational excellence in delivering impactful AI to drive performance to defined business outcomes. This role defines and operationalizes the enterprise AI strategy, architecture, and learning ecosystem in direct support of the company's core business priorities.
Our Team
Our Team Molex is a leading provider of electronic solutions, committed to innovation and excellence. Our team is dedicated to delivering high-quality products and services to our customers worldwide. Join us and be part of a dynamic and forward-thinking organization.
What You Will Do
- AI Leadership and direction: Provide leadership in developing, maintaining, and governing the AI platform and technology to enable secure, scalable, and compliant AI applications throughout Molex's global operations, spanning Supply Chain, Manufacturing, Product Development, business divisions and supporting capabilities.
- Talent Management: Lead, mentor and manage a diverse global team of data scientists, AI engineers and architects. Build a pipeline of talent that can take on increasingly complex projects and lead collaboration initiatives (AI Developers Community of Practice (CoP), technical upskilling, peer review, etc.).
- Operations Excellence: Oversee the delivery lifecycle from requirements discovery, solution design, and through deployment and monitoring of productionized data science and AI applications (MLOps/AIOps).
- AI Technology & Architecture: Provide architectural assurance for AI initiatives in flight. Review designs for scalability, security, and sustainability. Partner with Enterprise Architecture and Architecture Review Board. Prevent technology fragmentation and sprawl.
- AI Governance: Lead and champion best practices in AI governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GDPR, CMMC, PIPL, responsible use of AI etc.) as well as AI FINOPS.
- Partnership and Literacy: Foster partnerships with digital and technology leaders, and external collaborators to accelerate the AI enabled solution delivery and development. Serve as a thought leader for education, awareness, and innovation in enterprise applied and agentic AI. Create POVs and framework for responsible and safe use of AI and create accountability models for AI costs.
Who You Are (Basic Qualifications)
- Significant experience leading multi-disciplinary teams delivering enterprise-scale AI platforms and applications, preferably in with experience in global hi-tech manufacturing organizations.
- Deep expertise in data science methods (ML, AI, statistics) and AI engineering (cloud, MLOps, pipeline orchestration), with mastery of technology and platforms such as Snowflake, Python, R, AWS SageMaker, Spark, orchestration platforms etc.
- Demonstrated ability to define and execute governance frameworks for responsible AI, model lifecycle management, and regulatory compliance.
- Proven ability to drive innovation (whitepapers, roadmaps), develop cross-functional partnerships, and support technology transfer initiatives to embed AI into core business processes.
- Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning. Excellent interpersonal skills to work effectively with global groups and to build relationships in a fast-paced environment.
- Self-driven, highly adaptable, and able to quickly master new domains and tools in response to emerging business or technology trends.
- Excellent written, verbal and listening skills for clear and concise communication, documentation, and project management. Keen attention to detail. Strong organizational skills and the ability to manage multiple competing priorities.
For this role, we anticipate paying $150,000 - $250,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form. At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.
Who We Are
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here, aquí, or tu).
See All 349+ AI Product Owner Jobs
Jump back to the full list of openings and apply to any AI product owner role that fits.
Find AI Product Owner JobsAI Product Owner Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple11
- Adobe9
- NVIDIA9
- TikTok9
- Amazon8
Top Industries Hiring
- Technology & Software169
- Electronics & Hardware26
- Consulting & Professional Services24
- Banking & Financial Services14
- Manufacturing11
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 Apple, Adobe, and NVIDIA, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of June 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 42% of ai product owner openings are fully remote or hybrid as of June 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 349+ AI Product Owner Jobs
Jump back to the full list of openings and apply to any AI product owner role that fits.
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