Technical Product Manager - Content Platform

AI in this role

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.
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How we rate this

Technical Product Manager - Content Platform at Bloomberg rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.