AI Product Manager - Aladdin Portfolio Management, Vice President

BlackRock•New York, NY

4d•$162,500 - $215,000•Hybrid

About The Position

The AI Product Manager will help shape portfolio management technology within BlackRock’s Aladdin platform. Working at the intersection of investment management and technology, the role partners with portfolio managers, investment professionals, developers, researchers, and other stakeholders to understand investment decisions and workflows, reduce manual work, and develop intelligent capabilities that help investment teams operate more effectively at scale. The role owns product initiatives end to end, from identifying opportunities and setting strategy through experimentation, delivery, adoption, and measuring impact. It focuses on reimagining portfolio managers’ interactions with technology and enabling scalable, exception-driven workflows rather than merely automating existing processes. The Product Manager applies product judgment to distinguish valuable AI and automation opportunities from technology-driven hype and translates promising ideas into practical, scalable capabilities. The position is part of the Aladdin Product Management team, specifically within Portfolio Management. BlackRock’s hybrid model requires employees to work in the office at least four days per week, with flexibility to work from home one day per week; some business groups may require more office time. For the specified New York location, the stated salary range is USD $162,500 to $215,000, with eligibility for an annual discretionary bonus and healthcare, leave, and retirement benefits. Total compensation may vary based on role, location, and firm, department, and individual performance.

Requirements

At least five years of relevant experience in product management, business analysis, consulting, client service, technology, investment management, portfolio management, or a related field, including exposure to developing or delivering software products and improving investment workflows.
Demonstrated interest in AI and automation, including curiosity and initiative to evaluate emerging technologies, experiment thoughtfully, and identify practical applications in investment and portfolio management.
Understanding of investment management workflows such as portfolio construction, investment decision-making, rebalancing, and monitoring, with experience translating user needs and process inefficiencies into scalable technology solutions.
Strong product judgment and analytical problem-solving skills, including prioritizing opportunities, assessing where technology can create meaningful value, and using data to evaluate product outcomes.
Technical fluency across modern software architectures, APIs, automation frameworks, and emerging AI technologies, and understanding of product development lifecycles and agile delivery methods.
Experience partnering with users or clients and collaborating across product, engineering, investment, and business teams to shape, launch, and improve solutions, build alignment, and drive decisions without direct authority.
Strong commercial acumen, organization, and written and verbal communication skills, including the ability to manage competing priorities and explain investment and technology concepts to technical and non-technical audiences.

Nice To Haves

A bachelor’s degree in Finance, Economics, Engineering, Computer Science, or equivalent practical experience is preferred.

Responsibilities

Set product strategy and own the end-to-end lifecycle for AI- and automation-enabled portfolio management capabilities, from opportunity identification and experimentation through delivery, adoption, and measurable business impact.
Develop a deep understanding of portfolio manager personas and investment workflows, working directly with investment professionals to identify unmet needs and redesign processes for greater scale and efficiency.
Translate user and business needs into product requirements, user experiences, and success measures; work with engineering teams to evaluate trade-offs and deliver scalable, production-ready solutions.
Develop reusable capabilities and automation patterns applicable across investment strategies, portfolio management workflows, and Aladdin clients.
Measure adoption, operating efficiency, user experience, and business impact; use data and client feedback to prioritize continuous product improvement.
Build alignment across Aladdin Product, Engineering, and investment teams by communicating product strategy, roadmaps, dependencies, delivery milestones, and business outcomes to stakeholders and senior management.
Evaluate developments in AI, automation, and investment management and translate relevant advances into differentiated product opportunities.
Apply sound judgment and critical thinking to solve complex problems, adapt as the business evolves, explore new approaches and technologies, and rigorously challenge results.