Technical Product Manager- AI Data

Description & Requirements

The Bloomberg Enterprise Data business is experiencing significant growth. Within this organization, Data License Plus enables the distribution of an unparalleled breadth and depth of enterprise content to the world's leading market participants. We are expanding this platform to support AI‑driven and agentic client workflows, helping customers build the next generation of data‑powered solutions.

New York

Product

We are looking for a Technical Product Manager to define and execute on the vision for integrating our broad range of high quality financial data into client agentic workflows. In this role, you will own the end‑to‑end client experience and co‑own the roadmap for our Data Solutions for Agentic AI. You will design and deliver new features, integrations, and capabilities that make it easier for clients to build AI‑driven solutions using Bloomberg data and to drive the growth of our business.

You’ll work closely with Product, Engineering, and other partners in a highly cross‑functional, high‑impact environment, balancing deep technical understanding with strong business judgement.

• Develop a long‑term technical strategy, roadmap, framework, design patterns, for delivering data to generative AI systems
• Build the next generation of financial data products for agentic AI solutions
• Partner closely with product and engineering teams to deliver the defined business outcomes
• Interact with customers to understand their workflows and technical requirements, and develop a deep understanding of an ideal solution
• Foster a culture of collaboration with your Engineering and UX counterparts
• Prioritize, plan, make decisions, ask the right questions, and understand how to plan for and manage resources effectively
• Take the initiative, be proactive, innovate, advocate, understand the priorities for the business, and do what’s best for Bloomberg
• Define an effective go‑to‑market strategy

• 5+ years of experience in technical product management
• Experience working with developer teams and building AI or other data‑intensive applications
• Experience with emerging GenAI standards and protocols such as MCP or A2A
• Breadth of knowledge or familiarity with GenAI platforms, MLOps platforms, AI toolkits
• Organizational and communication skills to effectively coordinate and work with engineers, subject matter experts, other product managers, and senior management
• A product‑driven focus and track record of shaping business strategy and roadmaps for technical products
• Experience working with customers to identify and understand use cases and problems we should be solving

• A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience
• Applied experience with machine learning systems and large language models, including their operational and scaling requirements
• Experience with public cloud providers such as AWS, GCP, or Azure
• Working knowledge of capital markets data, market structure, or buy‑side/sell‑side workflows

Salary Range = 140, USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.