Top Product Management Jobs in New York City, NY

Lead product strategy and strategic initiatives for a client platform. Partner with investment, technology, and business stakeholders to define vision, deployment strategy, and new capabilities. Design, pilot, and implement improvements to platform stability, reliability, and performance. Work primarily on-site under a hybrid model.

Lead the strategic vision and commercial growth of BlackRock’s thematic and subsector US iShares ETFs. Responsibilities include shaping the product roadmap, supporting product innovation, partnering with portfolio management, marketing, and distribution teams, developing investor content, training sales partners, engaging clients and senior stakeholders, and managing a high-performing team.

Own product strategy, vision, roadmap, and execution for Aladdin’s Private Markets portfolio management solutions. Act as a subject matter expert on private markets workflows, gather user requirements, prioritize features, manage releases and dependencies, and partner with engineering on technical solutions. Lead governance forums, incorporate client feedback, monitor competitors and industry trends, and advise sales teams and clients on managing private and public exposures.

Support research, evaluation, and development of retirement products for the US DC market. Build business cases, conduct quantitative analysis, manage cross-functional product initiatives from ideation through launch, create presentations and thought leadership, and monitor market and competitor trends to identify commercialization opportunities.

Lead product strategy and execution for Aladdin's fixed income trading workflows. Partner with engineering, design, and clients to deliver scalable trading solutions, monitor market and regulatory changes, drive adoption, and measure success via usage metrics and client satisfaction.

Lead a team of data product managers to define multi-domain data product strategy and roadmap, prioritize investments, set product standards, and partner with business, engineering, and AI teams to deliver scalable data products that enable AI use cases and measurable commercial impact.