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.

What’s in it for you

We are looking for an AI Technical Product Manager to define and execute on the vision for integrating our next‑generation data platform 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 on Bloomberg data and 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.

We’ll trust you to

• Develop a long-term technical strategy, roadmap, framework, design patterns, for delivering data to generative AI systems
• 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

You’ll need to have

• 5+ years of experience in technical product management or in a technical role with a heavy product development focus
• 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

We’d love to see

• 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 Distributed Systems, and public cloud providers such as AWS, GCP, or Azure
• Working knowledge of capital markets data, market structure, or buy‑side/sell‑side workflows