Technical Product Manager – AI & Enterprise Platforms, Vice President

About this role

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


For New York, NY Only the salary range for this position is USD$162,500.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
 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  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 . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok .

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, po

Similar jobs

• Product Manager, AI Platform — Zuora · Foster City, California, United States
• Product Owner, AI Development Platform - Vice President — Morgan Stanley · New York, New York, United States
• Senior Product Manager, AI Platform — Campminder · Remote
• Product Engineer, Enterprise AI Platform — Openai · San Francisco
• Product Marketing Manager - Enterprise AI — NVIDIA · Santa Clara, CA
• Software Engineering Manager, SVP – AI Platform Development — Blackstone · Miami | New York 601 Lex
• Technical Product Manager, AI Systems — Bjakcareer · Remote
• Technical Product Manager - AI Solutions — Veeva · Remote