Senior Technical Product Manager, AI Platform

Bloomberg Industry Group•Arlington, VA

About The Position

Bloomberg Industry Group’s Core, AI & Search team builds the shared foundation for AI-powered experiences across Bloomberg Law, Bloomberg Tax, and Bloomberg Government. The Senior Technical Product Manager owns the technical product strategy and roadmap for shared capabilities that power AI across these products. The scope includes services and tools for building, deploying, and operating AI applications and agents, as well as integrations and AI security. The role partners with Engineering and teams across the business to turn emerging technology and customer needs into reusable capabilities that help teams deliver reliable AI experiences faster, with appropriate security and control. The position also supports adoption of shared AI capabilities, works with design and AI experience teams as capabilities expand to clients, and measures platform outcomes such as adoption, reuse, delivery speed, reliability, performance, and cost. It evaluates build, buy, and partner options and balances new capabilities with technical debt and operational improvements. The role requires travel to other Bloomberg offices as needed.

Requirements

  • 7–10 years of experience building and shipping technology-powered products, including at least 3 years owning technical or platform product execution.
  • Bachelor’s degree in Computer Science, Engineering, Data/Information Systems, or a related technical field, or equivalent practical experience.
  • Strong understanding of modern software and platform architectures, including APIs, data models, cloud-based and distributed systems, and data infrastructure.
  • Ability to partner with senior engineers and technical leaders to influence architecture-level decisions and navigate complex technical trade-offs.
  • Demonstrated data-driven decision-making using performance metrics, experimentation, telemetry, and logs to guide product strategy and prioritization.
  • Experience producing clear, high-quality technical requirements, user stories, and system-level documentation.
  • Solid grasp of modern delivery and operational practices, including Agile methodologies, CI/CD, observability, reliability engineering, and technical debt management.
  • Familiarity with DevOps, SRE, security, and compliance considerations in production systems.
  • Excellent communication skills and ability to translate complex technical concepts into clear guidance for cross-functional and non-technical stakeholders.
  • Willingness to travel to other Bloomberg offices as needed.

Responsibilities

  • Own and evolve the technical product strategy and roadmap for shared AI services, tools, integrations, and security.
  • Improve how teams access and deploy AI models, partnering with Engineering and AI Quality on model upgrades and changes in providers or capabilities.
  • Make it easier to build, test, deploy, and reuse AI applications and agents, including shared catalogs, versioning, and services for coordinating complex workflows.
  • Partner with business product teams on API and Model Context Protocol (MCP) integrations with customers’ AI environments, adapting priorities as integration needs develop.
  • Own the AI security product roadmap with Engineering and Security, including access controls, client data protection, secure agent and tool use, and audit records.
  • Partner with Engineering on architecture and testable requirements for reliable execution, recovery, monitoring, and cost management.
  • Integrate AI Quality evaluation tools and safety guardrails into development and production, and partner on defenses against prompt injection, unsafe actions, and data exposure.
  • Learn from teams using shared AI services and drive adoption through self-service tools, onboarding, documentation, and feedback and support channels.
  • Partner with design and AI experience teams on usability and integration into customer workflows as capabilities expand to clients.
  • Measure and improve adoption, reuse, delivery speed, reliability, performance, and cost, linking platform investments to customer outcomes.
  • Evaluate build, buy, and partner options, and prioritize technical debt and operational improvements alongside new capabilities.
  • Align priorities and dependencies across teams, adapt delivery plans, communicate trade-offs clearly, and mentor other Product Managers and Technical Product Managers.
  • Travel to other Bloomberg offices as needed.
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