AI Product Manager Jobs
AI Product Manager jobs are open across tech, fintech, healthtech, and enterprise software, from associate to principal and director level, with specializations in generative AI, platform products, and MLOps tooling. Find a role that fits from the openings below and apply directly.
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Showing 5 of 821+ AI Product Manager jobs
INTRODUCTION
AI Product Manager
Mahwah, NJ (on-site)
AI is central to Volvo Cars’ digital transformation. This role ensures that AI investments translate into scalable, trusted, and business-ready products—bridging strategy, engineering, and real-world application across customer, retailer, and operational experiences.
ROLE AND RESPONSIBILITIES
- Define and own the AI product strategy and roadmap, aligning with business priorities and customer and retailer needs
- Identify, prioritize, and shape AI use cases and capabilities across key digital touchpoints including web, mobile, connected car, and retailer platforms
- Lead the end-to-end delivery of AI, ML, and advanced analytics initiatives, from ideation to evaluation and execution, and through delivery and end user adoption
- Translate business needs into clear, well defined AI requirements, user stories, test cases, and ultimately products in production
- Coordinate with cross functional teams across data, engineering, analytics, and business stakeholders
- Establish and manage roadmaps, timelines, milestones, and success metrics, ensuring delivery against measurable outcomes
- Drive adoption, usability, and trust, ensuring AI outputs are explainable and embedded into business processes
- Champion a test and learn approach, enabling rapid experimentation and iteration
- Ensure alignment with AI governance, data privacy, and responsible AI standards
- Communicate AI strategy, progress, and outcomes to senior leadership and global stakeholders
BASIC QUALIFICATIONS
- 5+ years of experience in product management roles with a proven track record of delivering AI, ML products end to end
- Experience in product management with responsibility for strategy, roadmap, and delivery of digital or data-driven products
- Strong understanding of machine learning, advanced analytics, and Generative AI including large language models
- Experience delivering AI or ML solutions in production environments
- Proven ability to build business cases, define OKRs, and measure product performance
- Experience working in cross-functional environments, collaborating with engineering, data science, and business stakeholders
- Excellent communication and executive presentation skills
- Experience with cloud and data platforms; strong knowledge of Snowflake and Azure is required, and experience with Snowflake Cortex and Azure AI Foundry is highly preferred
- Knowledge of data and AI governance and best practices, as well as responsible frameworks, and data privacy regulations
SKILLS & COMPETENCIES
- Strategic thinking and product leadership
- Strong problem-solving and analytical mindset
- Ability to translate complex technical concepts into business value
- Cross-functional collaboration and stakeholder alignment
- Clear communication across technical and non-technical audiences
- Focus on outcomes, adoption, and measurable impact
COMPENSATION
- Salary Range: $105,525 to $195,975
Compensation is determined based on experience, qualifications, internal equity, location and company guidelines.
INTRODUCTION
AI Product Manager
Mahwah, NJ (on-site)
AI is central to Volvo Cars’ digital transformation. This role ensures that AI investments translate into scalable, trusted, and business-ready products—bridging strategy, engineering, and real-world application across customer, retailer, and operational experiences.
ROLE AND RESPONSIBILITIES
- Define and own the AI product strategy and roadmap, aligning with business priorities and customer and retailer needs
- Identify, prioritize, and shape AI use cases and capabilities across key digital touchpoints including web, mobile, connected car, and retailer platforms
- Lead the end-to-end delivery of AI, ML, and advanced analytics initiatives, from ideation to evaluation and execution, and through delivery and end user adoption
- Translate business needs into clear, well defined AI requirements, user stories, test cases, and ultimately products in production
- Coordinate with cross functional teams across data, engineering, analytics, and business stakeholders
- Establish and manage roadmaps, timelines, milestones, and success metrics, ensuring delivery against measurable outcomes
- Drive adoption, usability, and trust, ensuring AI outputs are explainable and embedded into business processes
- Champion a test and learn approach, enabling rapid experimentation and iteration
- Ensure alignment with AI governance, data privacy, and responsible AI standards
- Communicate AI strategy, progress, and outcomes to senior leadership and global stakeholders
BASIC QUALIFICATIONS
- 5+ years of experience in product management roles with a proven track record of delivering AI, ML products end to end
- Experience in product management with responsibility for strategy, roadmap, and delivery of digital or data-driven products
- Strong understanding of machine learning, advanced analytics, and Generative AI including large language models
- Experience delivering AI or ML solutions in production environments
- Proven ability to build business cases, define OKRs, and measure product performance
- Experience working in cross-functional environments, collaborating with engineering, data science, and business stakeholders
- Excellent communication and executive presentation skills
- Experience with cloud and data platforms; strong knowledge of Snowflake and Azure is required, and experience with Snowflake Cortex and Azure AI Foundry is highly preferred
- Knowledge of data and AI governance and best practices, as well as responsible frameworks, and data privacy regulations
SKILLS & COMPETENCIES
- Strategic thinking and product leadership
- Strong problem-solving and analytical mindset
- Ability to translate complex technical concepts into business value
- Cross-functional collaboration and stakeholder alignment
- Clear communication across technical and non-technical audiences
- Focus on outcomes, adoption, and measurable impact
COMPENSATION
- Salary Range: $105,525 to $195,975
Compensation is determined based on experience, qualifications, internal equity, location and company guidelines.
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Find AI Product Manager JobsAI Product Manager Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple51
- Google36
- NVIDIA33
- Amazon26
- Adobe18
Top Industries Hiring
- Technology & Software346
- Electronics & Hardware71
- Consulting & Professional Services50
- Banking & Financial Services43
- Science & Research28
What Employers Look For
The qualifications that appear most often in AI product manager jobs.
- Proven experience defining and shipping AI or ML-powered product features
- Ability to collaborate directly with data scientists and ML engineers on model requirements
- Proficiency with product analytics tools and experimentation frameworks such as A/B testing
- Bachelor's degree in computer science, engineering, or a related quantitative field
- Familiarity with large language models, prompt engineering, or generative AI workflows
- Experience writing technical product specifications and acceptance criteria for AI systems
Tips for Your AI Product Manager Job Search
Tailor your resume to AI product depth
Hiring managers for ai product manager roles scan for evidence you've shipped AI-specific features, not just managed sprints. Call out model evaluation cycles, prompt engineering tradeoffs, or data labeling pipelines you owned, not just general roadmap ownership.
Filter openings by AI stack specificity
Job posts that mention specific frameworks like LLMs, RAG pipelines, or vector databases signal a team that ships AI products, not one that bolts on AI as an afterthought. Prioritize those over listings that use only generic phrases like 'leverage AI capabilities'.
Apply early to roles that fit
Migrate Mate lists ai product manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Document your AI-specific portfolio work
Create a one-page case study for at least one AI product you shipped or influenced. Describe the problem, the model choice tradeoffs, how you measured quality beyond accuracy, and what you would do differently. Attach it to every application as a PDF.
Prepare for responsible AI interview questions
Interviewers at AI-forward companies routinely ask how you handled bias in a training dataset, how you balanced speed against safety, or how you explained a model decision to a non-technical stakeholder. Prepare two concrete examples before your first screen.
Negotiate scope, not just compensation
In offer negotiation, ai product managers often leave meaningful leverage on the table by focusing only on base pay. Ask explicitly about model access, compute budget, data infrastructure support, and autonomy over prioritization, because these define the actual job you'll do.
AI Product Manager Jobs: Frequently Asked Questions
Which companies are hiring the most ai product managers?
The companies hiring the most ai product managers right now include Apple, Google, 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 in companies building or integrating large language model features into core products.
How many ai product manager jobs are remote?
About 38% of ai product manager openings are fully remote or hybrid as of June 2026, which is higher than the average for product management broadly. Sub-areas like developer tools, API platform products, and AI infrastructure tend to have the greatest share of remote-eligible roles.
How do you become an ai product manager?
Start by building a foundation in product management fundamentals, then layer in applied AI knowledge through coursework, personal projects, or by moving into an AI-adjacent squad at your current company. You'll need to understand model evaluation, data pipelines, and how ML systems fail, not just how they work when they succeed. A portfolio case study on an AI product you influenced is more persuasive than a certification alone.
Can you get hired as an ai product manager with little experience?
Yes, but you need to substitute direct experience with demonstrated AI product thinking. Build a side project that uses an API from a major AI provider, document the product decisions you made, and write up what you learned about latency, cost, and output quality tradeoffs. Associate or rotational PM roles at AI-forward companies are the most accessible entry points for candidates transitioning from adjacent roles in engineering, data, or UX.
What does the ai product manager interview process look like?
The process typically starts with a recruiter screen, followed by a product sense interview where you design or critique an AI feature, and a technical screen where you discuss model tradeoffs, evaluation metrics, or data quality issues with an ML engineer. Later rounds usually include a cross-functional collaboration interview and a case study presentation where you walk through a product decision involving an AI system you worked on or researched.
Where can I find and apply to ai product manager jobs?
You can find and apply to ai product manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing from the page.
See All 821+ AI Product Manager Jobs
Jump back to the full list of openings and apply to any AI product manager role that fits.
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