Senior AI Product Manager Jobs
Senior AI Product Manager jobs are open across technology, healthcare, fintech, and enterprise software, from mid-level to staff and principal, with specializations in generative AI, machine learning platform strategy, and AI-native product development. Find a role that fits from the openings below and apply directly.
Find JobsLooking for remote work? View remote senior AI product manager jobs →Overview
Showing 5 of 1,242+ Senior 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.
Senior AI Product Manager Jobs by Experience Level
Top Cities Hiring Senior AI Product Managers
Explore senior AI product manager openings in the cities hiring most right now.
See All 1,242+ Senior AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior AI Product Manager Job Market
Who's Hiring
- American Heart Association113
- CVS Health62
- Google31
- JPMorganChase27
- TikTok25
Top Industries Hiring
- Technology & Software53
- Insurance11
- Education7
- Non-Profit & Social Services6
- Consulting & Professional Services6
What Employers Look For
The qualifications that appear most often in senior AI product manager jobs.
- 5+ years of product management experience with at least 2 years on AI or ML products
- Demonstrated experience shipping production AI features, models, or platforms to real users
- Ability to write and interpret technical specifications alongside machine learning engineers
- Proficiency with product analytics tools and model performance evaluation frameworks
- Experience working cross-functionally with data science, MLOps, and design teams
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Senior AI Product Manager Job Search
Quantify your AI product impact clearly
Hiring teams for senior ai product manager roles want to see measurable outcomes tied to model deployment, not just roadmap ownership. Rewrite your resume bullets to show adoption rates, latency improvements, or revenue impact from specific AI features you shipped.
Signal AI fluency beyond product instincts
You don't need to write code, but you do need to show you understand model evaluation, data pipelines, and inference tradeoffs. Add a skills section that names specific frameworks, platforms, or evaluation methods you've worked with alongside engineering and data science teams.
Target roles by AI maturity stage
Companies early in their AI buildout hire differently than those scaling an existing platform. Filter your search by job descriptions that mention greenfield work versus optimization and scaling, then tailor your application story to match where the company actually is.
Apply early to roles that fit
Migrate Mate lists senior 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.
Prepare for technical product case interviews
Senior ai product manager interviews frequently include live case exercises where you define success metrics for a model, prioritize between competing ML features, or diagnose a drop in model performance. Practice framing these in terms of user impact and business value, not engineering detail.
Negotiate against a total compensation benchmark
Offers at the senior level often include equity tied to AI product milestones, performance bonuses linked to adoption, or compute budgets as a perk. Ask specifically about each component before accepting so you're comparing total value across offers, not base salary alone.
Senior AI Product Manager Jobs: Frequently Asked Questions
Which companies are hiring the most senior ai product managers?
The companies hiring the most senior 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 technology platforms, enterprise software, and healthcare AI companies building or scaling production AI systems.
How many senior ai product manager jobs are remote?
About 80% of senior ai product manager openings are fully remote or hybrid as of September 2026, making it one of the more remote-accessible roles at the senior level. Sub-areas with the highest remote share include platform and infrastructure AI products, while roles focused on hardware integration or in-person research collaboration skew more toward on-site.
How do you become a senior ai product manager?
Start by building hands-on product experience on teams that ship data-driven or ML-powered features, even if AI is not the primary product focus. Move into roles where you own the roadmap for a model-dependent feature, develop fluency in evaluating model performance tradeoffs, and build a portfolio of shipped AI products with measurable outcomes before targeting senior titles.
Can you get hired as a senior ai product manager without direct AI experience?
It is possible if you can demonstrate adjacent depth, such as owning analytics products, working closely with data science teams, or shipping features that relied on recommendation or classification systems. Hiring managers at this level look for evidence you can operate at the intersection of engineering complexity and user value, so framing past work through that lens matters more than a formal AI title.
What does the senior ai product manager interview process look like?
Most senior ai product manager interview processes include a recruiter screen, a hiring manager conversation focused on past AI product decisions, a technical case exercise where you define metrics or prioritize an ML roadmap, and a cross-functional panel with engineering and design stakeholders. Final rounds often include a presentation of a past product you owned from discovery through launch, with emphasis on how you handled model limitations and tradeoffs.
Where can I find and apply to senior ai product manager jobs?
You can find and apply to senior 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 1,242+ Senior AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs