# Product Manager

**Company**: BlackRock
**Location**: New York, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: USD$162,500.00 - USD$215,000.00
**Category**: Product Management
**Industry**: Finance
**Wikidata**: https://www.wikidata.org/wiki/Q219635

**Apply**: https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/NY7---50-Hudson-Yards-New-York/AI-Product-Manager---Aladdin-Portfolio-Management--Vice-President_R266725?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d92fc074-2c2

## Description

The Aladdin Product Management team operates at the intersection of investment management and technology, designing and delivering capabilities across the investment lifecycle.

As a Product Manager, you will help shape the future of portfolio management technology within Aladdin, working directly with portfolio managers and investment professionals to understand how investment decisions are made and executed, identify opportunities to reduce manual work, and develop intelligent workflows that enable investment teams to operate more effectively at scale.

The ambition is not simply to automate existing processes, but to reimagine how portfolio managers interact with technology, make decisions, and manage portfolios, moving from repetitive activities toward scalable, exception-driven workflows.

**Responsibilities:**

- Set the product strategy and own the end-to-end lifecycle for AI- and automation-enabled portfolio management capabilities

- Develop a deep understanding of portfolio manager personas and investment workflows, partnering directly with investment professionals to identify unmet needs and redesign processes for greater scale and efficiency

- Translate user and business needs into clear product requirements, user experiences, and success measures, working with engineering teams to evaluate trade-offs and deliver scalable, production-ready solutions

- Develop reusable capabilities and automation patterns that can be applied across investment strategies, portfolio management workflows, and Aladdin clients

- Measure adoption, operating efficiency, user experience, and business impact, using 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, translating relevant advances into differentiated product opportunities

**Experience:**

- Five or more years of relevant experience in product management, business analysis, consulting, client service, technology, investment management, portfolio management, or a related field

- Demonstrated interest in AI and automation, with the curiosity and initiative to evaluate emerging technologies and identify practical applications

- Understanding of investment management workflows, such as portfolio construction, investment decision-making, rebalancing, and monitoring

- Strong product judgment and analytical problem-solving skills, including the ability to prioritize opportunities and use data to evaluate product outcomes

- Technical fluency across modern software architectures, application programming interfaces (APIs), automation frameworks, and emerging AI technologies

- Experience partnering with users or clients and collaborating across product, engineering, investment, and business teams

**Benefits:**

- Comprehensive healthcare

- Retirement plan

- Tuition reimbursement

- Flexible Time Off (FTO)

- Support for working parents

**Hybrid Work Model:**

- Employees are required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week

## Skills

### Required
- AI
- automation
- product management
- investment management
- portfolio management
- software architectures
- APIs
- automation frameworks

### Nice to have
- Finance
- Economics
- Engineering
- Computer Science

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