# AI Product Solutions Lead, Technology Product – Aladdin Data

**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/New-York-NY/AI-Product-Solutions-Lead--Technology-Product-Management--Vice-President_R267009?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5796b8b9-428

## Description

As an AI Product Solutions Lead, you will lead the integration and channel experiences workstream for a single AI-powered platform, developing and evolving the product from concept through launch, adoption, and ongoing optimization.

You will define the product vision and strategy for this workstream, translate complex business and user needs into technical product requirements, prioritize the roadmap, and partner closely with engineering, data science, architecture, design, business teams, and client businesses as key stakeholders to deliver scalable AI solutions.

Your responsibilities:

- Define AI product vision and strategy and own the end-to-end product lifecycle, from problem discovery and requirements through development, launch, adoption, measurement, and continuous optimization.

- Translate business and user needs into technical product requirements and own the roadmap and backlog, balancing user value, business impact, technical feasibility, data readiness, model performance, risk, and engineering effort.

- Serve as a product solutions partner across engineering, data science, architecture, design, and business teams, shaping scalable solutions across data requirements, integrations, APIs, grounding approaches, orchestration, and platform capabilities.

- Shape AI-powered and agentic experiences, including conversational interfaces, intelligent recommendations, automated workflows, decision support, and human-in-the-loop experiences, and drive experimentation across models, context, grounding, workflows, and user experiences.

- Define AI evaluation frameworks and product key performance indicators, using telemetry, experimentation, user feedback, and production performance to improve quality, relevance, reliability, scalability, adoption, productivity, and business outcomes.

- Define product requirements for responsible AI, including transparency, explainability, access controls, data privacy, evaluation, monitoring, security, governance, and appropriate human oversight.

- Evaluate emerging AI capabilities and translate relevant advances into practical product opportunities, grounding technology decisions in real user needs, product strategy, architectural considerations, and measurable business value.

Requirements:

- Experience leading technical product management, including product strategy, roadmap development, prioritization, technical requirements definition, and ownership of products from concept through production launch and adoption.

- Knowledge of AI and machine learning product development, including generative AI, large language models, AI agents and agentic workflows, prompting, context management, and model capabilities.

- Working knowledge of retrieval-augmented generation (RAG), grounding, knowledge retrieval, semantic data models, and structured and unstructured data approaches.

- Experience partnering on product solution and platform architecture, including APIs, system integrations, data pipelines, and technical trade-offs, with the ability to shape technical solutions without being the primary engineer implementing them.

- Experience defining product and AI quality measures and using evaluation, telemetry, experimentation, quantitative insights, and qualitative user feedback to improve product experiences and outcomes.

- Understanding of responsible AI principles and considerations related to security, privacy, governance, evaluation, monitoring, and controls for production AI products.

- Ability to translate complex business workflows and user needs into scalable product and technical solutions and communicate effectively across engineering, data science, architecture, design, business teams, and senior stakeholders.

Benefits:

- Salary range: USD$162,500.00 - USD$215,000.00

- Annual discretionary bonus

- Healthcare

- Leave benefits

- Retirement benefits

- Tuition reimbursement

- Flexible Time Off (FTO)

## Skills

### Required
- AI
- machine learning
- product management
- technical requirements definition
- platform architecture
- API
- data pipeline
- semantic data models
- retrieval-augmented generation (RAG)
- grounding
- knowledge retrieval

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