Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power the Bloomberg Terminal and beyond. Our work spans AI and ML platforms, cloud infrastructure, open-source stewardship, and generative AI innovation.For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Behind these innovations lies a vast ecosystem of data and compute platforms. We are now building new cloud-native capabilities to accelerate AI development across the company and enable the next generation of intelligent products. What's In It For You We are looking for a Technical Product Manager to define and execute the strategy for Bloomberg's AI Data Discovery & Governance Platform, a cloud-native foundation for AI data management and lifecycle visibility.You will design and deliver modern data capabilities purpose-built for AI, focused on making data discoverable, accessible, and trackable from curation and training through evaluation and inference.Your mission is to connect Bloomberg's rich data ecosystem to our AI compute environment in the cloud. This includes linking dataset registries, feature platforms, and evaluation datasets to training pipelines, notebooks, and inference systems. The platform you help build will power data discovery, governance, and transparency across Bloomberg's AI community, enabling faster innovation and greater trust in AI data. Why This Matters This platform will serve as the backbone of Bloomberg's AI data strategy, ensuring that teams can efficiently develop and operate AI systems with clarity, traceability, and compliance. You will work closely with engineering, infrastructure, and data platform teams across the company to build capabilities that extend Bloomberg's existing strengths while introducing new systems optimized for AI in the cloud.Your impact will span the entire AI lifecycle, helping data scientists and engineers discover, understand, and manage AI data with the same rigor and reliability that define Bloomberg's broader data ecosystem.
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Job Type
Full-time
Career Level
Mid Level
Industry
Web Search Portals, Libraries, Archives, and Other Information Services
Number of Employees
5,001-10,000 employees