Product Manager - Content Platform

Bloomberg; New York (NY); Sur place; USD 140 000 - 295 000; Plein temps

Résumé du poste

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.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

5+ years PM experience

Data platforms

APIs & distributed systems

API design & versioning

Stakeholder communication

Description du poste

Technical Product Manager - Content Platform

Location

New York

Business Area

Product

Ref #

10050589

Description & Requirements

The Content Platform team owns the end-to-end platform and strategic direction for Bloomberg’s unstructured content across core domains including News, Research, Media, and other content types. The team is responsible for the canonical content model and the ingestion, storage, projection, and distribution capabilities that make content reliable, reusable, and consumable across downstream systems—particularly AI-driven use cases. Working in close partnership with Engineering, Data and other Product teams, the group ensures content is discoverable, indexable, and usable at scale across both the Bloomberg Terminal and Bloomberg's Enterprise lines of business. In addition, the team is accountable for platform-wide metrics, measurements, and statistics, providing transparent, quantifiable insight across every stage of the content lifecycle. Its mandate is to set the strategy, standards, and roadmap for unstructured content as a shared Bloomberg platform—ensuring consistency, scalability, and long-term leverage as content and consumption models evolve.

What's the role?

We are seeking a Product Manager to lead Delivery & Consumption for the Content Platform. In this role, 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 the distribution interfaces that make content accessible to downstream consumers. Working closely with engineering, AI, and product teams, you will ensure content is delivered in forms that meet latency, scalability, and reproducibility requirements while maintaining a consistent canonical model.

We’ll trust you to:

• Define and manage projection layers derived from canonical content, including low-latency views for real-time applications, historical snapshots for model training, and datasets for analytical workloads
• Design and own APIs, data feeds, and streaming interfaces used to distribute content, including interface contracts, versioning, and deprecation strategies
• Partner with product, AI, and engineering teams to understand consumption needs and ensure the platform supports production use cases without duplicated pipelines
• Establish and drive standards for latency, availability, and scalability across delivery mechanisms
• Monitor adoption and usage of platform interfaces, identify gaps, and prioritize improvements to increase reuse and consistency across Bloomberg systems

You’ll need to have:

• A minimum of 5+ years of product management or related experience
• Experience building or managing data platforms, APIs, or distributed systems used by multiple consumers
• Strong understanding of API design, versioning, and backward compatibility
• Technical fluency and the ability to work closely with engineering teams on architecture and system trade-offs
• Experience working across teams and communicating effectively with both technical and non-technical stakeholders

We’d love to see:

• Experience supporting AI or analytics workflows, including training data and low-latency inference use cases
• Familiarity with streaming and batch processing architectures and data delivery patterns
• Experience working on internal platforms or shared infrastructure
• A pragmatic approach to balancing standardization with flexibility in a multi-consumer environment

Salary Range = 140,000-295,000 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.

Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.