Senior Technical Product Manager, AI Evaluations & Quality
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 new models and capabilities with confidence. The role works with Engineering, Data Science, product teams, and domain experts to measure and improve AI across professional workflows, from development through production. The position guides the delivery of useful answers, safe agents, and better customer outcomes. It includes shaping evaluation frameworks and tooling, establishing benchmarks and testing standards, embedding evaluation in product workflows, leading AI safety and guardrail priorities, and communicating evidence of quality, risk, and limitations to business and product teams. The role also evaluates build, buy, and partner options and mentors other 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.
- Develop shared evaluation methods and benchmark datasets with domain experts and product teams, combining automated testing with expert review.
- Evaluate models, prompts, agents, and complete 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 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 routes for feedback and support.
- 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 other Product Managers and Technical Product Managers.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
