Senior Product Manager — AI Platform & Evaluation

WHOOP; Boston (MA); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Flexible vacation

Parental leave (18 weeks)

Stock options

WHOOP membership

Comprehensive health benefits

Wellness stipend

Sleep performance incentive

Job summary

WHOOP is seeking a Senior Product Manager to own the internal AI development platform and define how AI output quality is measured across WHOOP’s experiences. You will work with AI engineers, researchers, and data scientists to set evaluation methodology, data usage, and provider choices while balancing latency and cost across initiatives.

You’ll shape the adoption of the internal AI platform, enable self-serve evals, and drive multi-team shipping of AI features.

Qualifications

• Experience with platform or internal-facing products
• Nice to have: internal AI tooling or evaluation frameworks
• SQL or light scripting
• Working literacy in modern ML (fine-tuning, RL, distillation)
• Sound business judgment to quantify tradeoffs
• Comfort operating in ambiguity and turning possibilities into bets
• Technical fluency to partner with research and engineering as a peer
• Experience shipping AI/ML products with probabilistic capabilities

Responsibilities

• Shape how AI output quality is measured across WHOOP’s AI experiences, including evaluation methodology, datasets, and scoring
• Build the evaluation habit across the company so evals are self-serve and teams ship AI features to run them
• Decide which models power which experiences and which providers to use, balancing quality, latency, and cost
• Product-manage the internal AI development platform and drive its adoption
• Track the unit economics of AI at WHOOP, including cost per interaction and spending tradeoffs
• Explore future AI capability directions (fine-tuning, RL, distillation) and translate options into well-scoped bets starting with internal productivity

Job description

WHOOP is seeking a Senior Product Manager to own the internal AI development platform and define how AI output quality is measured across WHOOP’s experiences. You will work with AI engineers, researchers, and data scientists to set evaluation methodology, data usage, and provider choices while balancing latency and cost across initiatives.

You’ll shape the adoption of the internal AI platform, enable self-serve evals, and drive multi-team shipping of AI features.