Senior Technical Product Manager, AI Evaluations & Quality

Bloomberg Industry Group, Inc.; Arlington (VA); On-site; USD 180,000 - 230,000; Full time

Job summary

Bloomberg Industry Group is seeking a Senior Technical Product Manager to own the technical product strategy and roadmap for AI evaluation, quality, safety, and guardrails. You will collaborate with Engineering, Data Science, and domain experts to shape how we measure AI effectively in real professional workflows.

You will drive adoption of evaluation frameworks and translate quality goals into requirements, mentoring other PMs while ensuring safe, compliant AI outcomes across Bloomberg Law,

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data/Information Systems, or a related technical field - or equivalent practical experience.
• 7-10 years of experience building and shipping technology-powered products, with at least 3 years owning technical or platform product execution.
• 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, with 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 AI evaluation frameworks, tooling, safety controls, and guardrails.
• Continuously compare the latest models and capabilities on real professional tasks, and guide adoption based on quality, safety, speed, and cost.
• Turn agreed 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 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 product priorities for AI safety and guardrails 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.
• Give business and product teams clear evidence of quality, risks, and limitations to support their 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 useful 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 clearly to technical and business leaders, and mentor other Product Managers and Technical Product Managers.

Skills

Product strategy

Technical PM

AI safety

Roadmap planning

Cross-functional leadership

Data-driven decision making

Agile methodologies

Education

Bachelor's degree in CS/Engineering

Job description

At Bloomberg Industry Group, our Core, AI & Search team builds the shared foundation for AI-powered experiences across Bloomberg Law, Bloomberg Tax, and Bloomberg Government. We help professionals find trusted answers and complete complex work, while enabling product teams to deliver better experiences faster. We are seeking a Senior Technical Product Manager to own the technical product strategy and roadmap for AI evaluation, quality, safety, and guardrails. You will help teams assess and adopt the latest models and capabilities with confidence. Working with Engineering, Data Science, product teams, and domain experts, you will shape how we measure and improve AI across real professional workflows, from development through production. Your work will help teams deliver more useful answers, safer agents, and better customer outcomes.

What You Will Do:

• Own and evolve the technical product strategy and roadmap for shared AI evaluation frameworks, tooling, safety controls, and guardrails
• Continuously compare the latest models and capabilities on real professional tasks, and guide adoption based on quality, safety, speed, and cost
• Turn agreed 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 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 product priorities for AI safety and guardrails 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
• Give business and product teams clear evidence of quality, risks, and limitations to support their 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 useful 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 clearly to technical and business leaders, and mentor other Product Managers and Technical Product Managers

What You Need to Have:

• 7-10 years of experience building and shipping technology-powered products, with at least 3 years owning technical or platform product execution (e.g., 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, with 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

Compensation Range: $180,000.00-$230,000.00 Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.

Equal Opportunity Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”). Bloomberg Industry Group, an affiliate of Bloomberg L.P., is a leading source of legal, tax, regulatory, government, and business information for professionals.