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 1,239+ AI Product Manager 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 Manager Jobs by Experience Level
Top Cities Hiring AI Product Managers
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Find AI Product Manager JobsAI Product Manager Job Market
Who's Hiring
- American Heart Association113
- CVS Health62
- Google31
- JPMorganChase27
- TikTok25
Top Industries Hiring
- Technology & Software53
- Insurance12
- Education7
- Non-Profit & Social Services6
- Consulting & Professional Services6
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 American Heart Association, CVS Health, and Google, 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 in companies building or integrating large language model features into core products.
How many ai product manager jobs are remote?
About 80% of ai product manager openings are fully remote or hybrid as of September 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 1,239+ AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Product Manager Jobs