Senior Technical Product Manager, AI Evaluations & Quality

Bloomberg Industry Group • Arlington, VA

3d

About The Position

Bloomberg Industry Group’s Core, AI & Search team builds shared foundations for AI-powered experiences across Bloomberg Law, Bloomberg Tax, and Bloomberg Government. The Senior Technical Product Manager will own the technical product strategy and roadmap for AI evaluation, quality, safety, and guardrails, helping teams assess and adopt models and capabilities with confidence. Working with Engineering, Data Science, product teams, and domain experts, this role shapes how AI is measured and improved across professional workflows, from development through production.

The position focuses on enabling more useful answers, safer agents, and better customer outcomes. It combines evaluation frameworks and benchmarks with model and workflow assessment, production monitoring, safety controls, and support for teams adopting shared services. The role also communicates quality evidence, risks, and trade-offs to business and technical stakeholders and mentors Product Managers and Technical Product Managers.

Requirements

• 7–10 years of experience building and shipping technology-powered products, including at least 3 years owning technical or platform product execution (for example, as a Technical PM, Platform PM, IR/ML PM, Solution Architect, or Engineering Lead).
• 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.
• Proven 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, including the 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 evaluation frameworks, tooling, safety controls, and guardrails.
• Compare models and capabilities on real professional tasks and guide adoption based on quality, safety, speed, and cost.
• Turn evaluation standards into shared methods and benchmark datasets with domain experts and product teams, combining automated testing with expert review.
• Evaluate models, prompts, agents, and end-to-end workflows for accuracy, relevance, source support, safe tool use, and successful task completion, partnering with Search on retrieval quality.
• Translate quality goals into testable requirements and partner with Engineering and AI Platform to embed evaluation in development, release, and production workflows.
• Lead AI safety and guardrail product priorities with Engineering, Legal, and Privacy, addressing unreliable outputs, unsafe actions, transparency, and human oversight.
• Partner with AI Platform and Security to test safeguards against prompt injection, misuse, and data exposure, and address failures.
• Provide business and product teams with clear evidence of quality, risks, and limitations to support acceptance and release decisions.
• Use production traces, incidents, customer feedback, and expert review to improve evaluation datasets, detect regressions, and measure answer quality, task success, and safety.
• Help teams adopt evaluation and guardrail services through documentation, onboarding, and clear feedback and support routes.
• Evaluate build, buy, and partner options, and prioritize delivery with Engineering as technology, dependencies, and customer needs evolve.
• Communicate recommendations and trade-offs to technical and business leaders, and mentor Product Managers and Technical Product Managers.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior