Senior Level Senior AI Product Manager Jobs
Senior level senior ai product manager jobs place experienced professionals in charge of AI product strategy, cross-functional roadmaps, and the teams that ship production-ready systems. Openings concentrate across Technology & Software, Healthcare & Medical Services, and Banking & Financial Services, with 40% remote or hybrid availability, and employers like Amazon, Google, and NVIDIA hiring at this level now.
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Showing 5 of 391+ Senior Level Senior AI Product Manager jobs
Job description
About this role
Role Summary
Technical Product Manager responsible for leading AI-driven enterprise platform initiatives, with ownership across product strategy, execution, and go-to-market. Drives cross-functional alignment across engineering, infrastructure, and business stakeholders to deliver scalable, enterprise-grade solutions.
Key Responsibilities
1. Product Strategy & Roadmap Ownership
- Define and execute product strategy aligned to organizational objectives
- Translate complex, competing priorities into clear, actionable roadmaps
- Drive prioritization decisions across multiple teams and stakeholders
2. AI & Platform Innovation
- Lead development and adoption of AI-powered solutions (e.g., enterprise chatbots, automation tools)
- Build and deploy internal tools leveraging modern AI frameworks and APIs
- Identify opportunities to scale automation and reduce manual operational effort
3. Cross-Functional Leadership
- Partner with engineering, infrastructure, operations, and vendors
- Drive alignment across large-scale, distributed engineering teams (10+ teams)
- Bridge technical and business domains by translating engineering insights into executive narratives
4. Data-Driven Decision Making
- Conduct user discovery and stakeholder interviews to identify friction points
- Leverage analytics and AI to synthesize large volumes of signals into actionable insights
- Build dashboards and reporting frameworks to support leadership decision-making
5. Drive adoption of alternative solutions across regulated environments
6. Operational Excellence & Process Design
- Design scalable processes, frameworks, and operating models (e.g., workflows, RACI)
- Improve engineering productivity and capacity allocation
- Ensure quality, reliability, and compliance in product delivery
Required Qualifications
- Experience in Technical Product Management within enterprise or SaaS environments
- Proven track record of managing complex, cross-functional initiatives
- Strong understanding of AI/ML applications in enterprise platforms
- Ability to translate technical concepts into business impact narratives
- Experience working with distributed engineering teams and stakeholder groups
- Strong analytical and problem-solving capabilities
Preferred Qualifications
- Experience with ServiceNow or enterprise workflow platforms
- Familiarity with cloud infrastructure and enterprise system integrations
- Hands-on experience with tools such as Python, SQL, APIs, or prototyping tools
- Exposure to regulated environments (e.g., FIPS-compliant systems)
- Background in data-driven product discovery and experimentation
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement (opens in new window) and the pay transparency statement (opens in new window).
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com (opens in new window). All requests are treated in line with our privacy policy (opens in new window). (opens in new window)
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.R264999
Job description
About this role
Role Summary
Technical Product Manager responsible for leading AI-driven enterprise platform initiatives, with ownership across product strategy, execution, and go-to-market. Drives cross-functional alignment across engineering, infrastructure, and business stakeholders to deliver scalable, enterprise-grade solutions.
Key Responsibilities
1. Product Strategy & Roadmap Ownership
- Define and execute product strategy aligned to organizational objectives
- Translate complex, competing priorities into clear, actionable roadmaps
- Drive prioritization decisions across multiple teams and stakeholders
2. AI & Platform Innovation
- Lead development and adoption of AI-powered solutions (e.g., enterprise chatbots, automation tools)
- Build and deploy internal tools leveraging modern AI frameworks and APIs
- Identify opportunities to scale automation and reduce manual operational effort
3. Cross-Functional Leadership
- Partner with engineering, infrastructure, operations, and vendors
- Drive alignment across large-scale, distributed engineering teams (10+ teams)
- Bridge technical and business domains by translating engineering insights into executive narratives
4. Data-Driven Decision Making
- Conduct user discovery and stakeholder interviews to identify friction points
- Leverage analytics and AI to synthesize large volumes of signals into actionable insights
- Build dashboards and reporting frameworks to support leadership decision-making
5. Drive adoption of alternative solutions across regulated environments
6. Operational Excellence & Process Design
- Design scalable processes, frameworks, and operating models (e.g., workflows, RACI)
- Improve engineering productivity and capacity allocation
- Ensure quality, reliability, and compliance in product delivery
Required Qualifications
- Experience in Technical Product Management within enterprise or SaaS environments
- Proven track record of managing complex, cross-functional initiatives
- Strong understanding of AI/ML applications in enterprise platforms
- Ability to translate technical concepts into business impact narratives
- Experience working with distributed engineering teams and stakeholder groups
- Strong analytical and problem-solving capabilities
Preferred Qualifications
- Experience with ServiceNow or enterprise workflow platforms
- Familiarity with cloud infrastructure and enterprise system integrations
- Hands-on experience with tools such as Python, SQL, APIs, or prototyping tools
- Exposure to regulated environments (e.g., FIPS-compliant systems)
- Background in data-driven product discovery and experimentation
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement (opens in new window) and the pay transparency statement (opens in new window).
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com (opens in new window). All requests are treated in line with our privacy policy (opens in new window). (opens in new window)
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.R264999
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Find JobsSenior Level Senior AI Product Manager Job Market
Who's Hiring
- Amazon11
- Google10
- NVIDIA9
- JPMorganChase9
- CVS Health7
Top Industries Hiring
- Technology & Software142
- Healthcare & Medical Services35
- Banking & Financial Services24
- Electronics & Hardware23
- Investment & Asset Management22
Senior Level Senior AI Product Manager Jobs: Frequently Asked Questions
How do I get a senior level senior ai product manager job?
Employers at this level look for candidates who have owned full AI product lifecycles, not just contributed to them. Demonstrating that you have shaped model evaluation frameworks, driven cross-functional alignment between engineering and business stakeholders, and made tradeoff decisions with measurable outcomes sets you apart. A portfolio of shipped AI features and evidence of mentoring junior PMs strengthens any application significantly.
Which companies hire senior level senior ai product managers?
Companies hiring senior level senior ai product managers right now include Amazon, Google, and NVIDIA, based on current listings on Migrate Mate as of June 2026. Hiring at this level skews toward technology firms, enterprise software companies, and large organizations building proprietary AI capabilities into their core products.
Are there remote senior level senior ai product manager jobs?
Yes, though availability varies by employer and product stage. About 40% of senior level senior ai product manager openings are remote or hybrid as of June 2026, reflecting how many AI product teams operate across distributed engineering organizations. Fully on-site roles tend to appear most at companies building regulated or hardware-adjacent AI systems.
What makes a senior ai product manager role senior level?
Senior level roles carry ownership rather than execution. You are expected to define the product vision for an AI system, set technical acceptance criteria, resolve ambiguity across research, engineering, and business teams, and mentor mid-level PMs. The distinction from a mid-level role is accountability for outcomes, not just delivery, and the ability to influence organizational AI strategy without needing direction from above.
Which industries hire the most senior level senior ai product managers?
Senior level senior ai product manager roles concentrate in Technology & Software, Healthcare & Medical Services, and Banking & Financial Services, based on current listings on Migrate Mate as of June 2026. Those sectors drive hiring because they have the engineering infrastructure, data assets, and competitive pressure to build and scale AI products that require experienced ownership rather than early-stage experimentation.