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.
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Senior AI Product Manager
This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
Designs, plans, develops and manages a product or portfolio of products throughout the solution portfolio lifecycle: from new product definition or enhancements to existing products; planning, design, forecasting, and production; to end of life.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
Responsibilities:
- Strategy and Roadmap: Define the vision for AI-driven initiatives, determining build vs. buy decisions and setting long-term AI strategy.
- Technical Collaboration: Work closely with AI engineers, data scientists, and developers to guide model development, evaluate algorithms, and ensure technical feasibility.
- Data and Model Management: Define training data requirements, set model performance benchmarks, and monitor data quality, bias, and accuracy.
- Product Lifecycle Management: Manage the entire process from conceptualization and data acquisition to deployment, testing, and continuous iteration based on user feedback.
- Cross-Functional Leadership: Act as the bridge between technical teams and non-technical stakeholders, translating complex technical limitations into business impacts.
- Leads and drives the end-to-end strategy and operational product roadmap for one or more products.
- Defines the value proposition, target customer segments, and business case to bring one or more innovative and disruptive products to market with respect to the whole company product portfolio (i.e. Product configuration mix, Revenue/Margins, financials, market share).
- Synthesizes market requirements (MRD) into marketing/customer details through having intimate customer knowledge and business, financial and industry market acumen.
- Advises key stakeholders on the portfolio strategy across all phases of the lifecycle (e.g., planning, development, launch, management, exit).
- Creates and drives goal alignment and collaborates across one or more products' value chain partners to optimize margins and enable success of products per plans across the product lifecycle. (i.e. Engineering: product development, Supply Chain: SKUs, inventory and Marketing: marketing and pricing strategies and Go To Market Plan).
Education and Experience Required:
- Bachelor's degree or equivalent in computer science, engineering or related field of study. MBA or advanced degree in computer science or engineering preferred.
- 8+ years of work experience in related field.
- Technical understanding and knowledge of the relevant industry.
Knowledge and Skills:
- Expert team skills and ability to cross functionally drive/influence work through others, ability to mentor and lead teams to achieve results for complex, ambiguous projects.
- Expert skills in cost efficient solution building, financial performance metric creation and analysis.
- Expert business acumen and knowledge of root cause analysis and problem detection.
- Technical understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job: Engineering
Job Level: TCP_04
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Senior AI Product Manager
This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
Designs, plans, develops and manages a product or portfolio of products throughout the solution portfolio lifecycle: from new product definition or enhancements to existing products; planning, design, forecasting, and production; to end of life.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
Responsibilities:
- Strategy and Roadmap: Define the vision for AI-driven initiatives, determining build vs. buy decisions and setting long-term AI strategy.
- Technical Collaboration: Work closely with AI engineers, data scientists, and developers to guide model development, evaluate algorithms, and ensure technical feasibility.
- Data and Model Management: Define training data requirements, set model performance benchmarks, and monitor data quality, bias, and accuracy.
- Product Lifecycle Management: Manage the entire process from conceptualization and data acquisition to deployment, testing, and continuous iteration based on user feedback.
- Cross-Functional Leadership: Act as the bridge between technical teams and non-technical stakeholders, translating complex technical limitations into business impacts.
- Leads and drives the end-to-end strategy and operational product roadmap for one or more products.
- Defines the value proposition, target customer segments, and business case to bring one or more innovative and disruptive products to market with respect to the whole company product portfolio (i.e. Product configuration mix, Revenue/Margins, financials, market share).
- Synthesizes market requirements (MRD) into marketing/customer details through having intimate customer knowledge and business, financial and industry market acumen.
- Advises key stakeholders on the portfolio strategy across all phases of the lifecycle (e.g., planning, development, launch, management, exit).
- Creates and drives goal alignment and collaborates across one or more products' value chain partners to optimize margins and enable success of products per plans across the product lifecycle. (i.e. Engineering: product development, Supply Chain: SKUs, inventory and Marketing: marketing and pricing strategies and Go To Market Plan).
Education and Experience Required:
- Bachelor's degree or equivalent in computer science, engineering or related field of study. MBA or advanced degree in computer science or engineering preferred.
- 8+ years of work experience in related field.
- Technical understanding and knowledge of the relevant industry.
Knowledge and Skills:
- Expert team skills and ability to cross functionally drive/influence work through others, ability to mentor and lead teams to achieve results for complex, ambiguous projects.
- Expert skills in cost efficient solution building, financial performance metric creation and analysis.
- Expert business acumen and knowledge of root cause analysis and problem detection.
- Technical understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job: Engineering
Job Level: TCP_04
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
See All 287+ Senior AI Product Manager Jobs
Jump back to the full list of openings and apply to any senior AI product manager role that fits.
Find JobsSenior AI Product Manager Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple22
- Amazon15
- NVIDIA13
- Adobe7
- Google7
Top Industries Hiring
- Technology & Software125
- Electronics & Hardware35
- Consulting & Professional Services21
- Healthcare & Medical Services13
- Banking & Financial Services12
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 Apple, Amazon, and NVIDIA, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of June 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 34% of senior ai product manager openings are fully remote or hybrid as of June 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 287+ Senior AI Product Manager Jobs
Jump back to the full list of openings and apply to any senior AI product manager role that fits.
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