VP Technology Product Manager

BlackRock is the world’s largest asset manager, operating the IBIT bitcoin ETF and the BUIDL tokenized fund.

New York, NY, USA
About BlackRock

BlackRock (blackrock.com) is the world’s largest asset manager, with production digital-asset businesses: the IBIT spot bitcoin ETF, the BUIDL tokenized money-market fund (with Securitize), and tokenization initiatives.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the end-to-end lifecycle of applied AI and data-product solutions, from gathering requirements and designing experiments through delivery, adoption, and measurable impact. You will set product strategy and roadmaps, prioritize opportunities, partner with engineering and financial modelling teams, and communicate solution risks, trade-offs, and outcomes to stakeholders.

Requirements

  • Five or more years of relevant experience in product management, technology, investment management, or a related field
  • Experience partnering with users or clients and collaborating across product, engineering, and business teams
  • Technical fluency in software architectures, APIs, data warehouses, automation frameworks, AI technologies, product development lifecycles, and agile delivery
  • Experience developing or managing applied AI solutions using LLMs, RAG, SQL, APIs, and data warehousing
  • Ability to communicate technical concepts, trade-offs, and risks to technical and non-technical audiences
  • Analytical, strategic-thinking, commercial, communication, and stakeholder-management skills

Responsibilities

  • Lead the end-to-end lifecycle for applied AI and data-product solutions
  • Define and execute product strategy and actionable roadmaps
  • Partner with engineering, financial modelling, and product teams
  • Identify and prioritize AI opportunities that automate workflows
  • Communicate scope, assumptions, outcomes, risks, and limitations
  • Provide technical product leadership and establish AI best practices

Benefits

  • Annual discretionary bonus
  • Healthcare
  • Leave benefits
  • Retirement benefits
  • Retirement investment tools
  • Education reimbursement
  • Physical health and emotional well-being resources
  • Family support programs
  • Flexible Time Off