Product Manager, Content Platform & APIs for AI

Bloomberg; New York (NY); Vor Ort; USD 140.000 - 295.000; Vollzeit

Zusammenfassung

Bloomberg is seeking a Technical Product Manager for the Content Platform in New York. You will define how canonical content is exposed and consumed across Bloomberg systems, including the Terminal, Enterprise products, search, and AI use cases.

You will own the projection layer and distribution interfaces, partnering with engineering, AI, and product teams to meet latency, scalability, and reproducibility requirements while maintaining a consistent canonical model.

Qualifikationen

• 5+ years product management or related experience.
• Experience building or managing data platforms, APIs, or distributed systems.
• Strong understanding of API design, versioning, and backward compatibility.
• Technical fluency and ability to work with engineering teams on architecture.
• Experience communicating with both technical and non-technical stakeholders.

Aufgaben

• Define projection layers derived from canonical content, including low-latency views for real-time apps, historical snapshots for model training, and datasets for analytics.
• Design and own APIs, data feeds, and streaming interfaces to distribute content with contracts, versioning, and deprecation strategies.
• Partner with product, AI, and engineering teams to match consumption needs and avoid duplicated pipelines.
• Establish and drive standards for latency, availability, and scalability across delivery mechanisms.
• Monitor adoption and usage of platform interfaces, identify gaps, and drive improvements for reuse and consistency across Bloomberg systems.

Kenntnisse

5+ years PM experience

Data platforms

APIs & distributed systems

API design & versioning

Stakeholder communication

Jobbeschreibung

Bloomberg is seeking a Technical Product Manager for the Content Platform in New York. You will define how canonical content is exposed and consumed across Bloomberg systems, including the Terminal, Enterprise products, search, and AI use cases.

You will own the projection layer and distribution interfaces, partnering with engineering, AI, and product teams to meet latency, scalability, and reproducibility requirements while maintaining a consistent canonical model.