Whoop Senior Product Manager at WHOOP manages AI output quality measurement and internal AI platform adoption. The role balances model selection, cost, and quality across AI experiences.
Responsibilities
Shape how AI output quality is measured across WHOOP's AI experiences, including the evaluation methodology, datasets, and scoring that make quality continuous and trusted rather than judged case by case.
Build the evaluation habit across the company: make evals self-serve, and get the teams shipping AI features to actually run them.
Help decide which models power which experiences, and which providers we run them on, balancing quality, latency, and cost as the model landscape shifts.
Product-manage our internal AI development platform and drive its adoption, so that anyone at WHOOP building with AI has a fast, well-instrumented path from idea to shipped.
Track the unit economics of AI at WHOOP, including cost per interaction, and drive the tradeoffs between quality, latency, and spend.
Explore where AI capability goes next, from fine-tuning and reinforcement learning to distillation and emerging foundation models, and turn a broad field of options into a small number of well-scoped bets, starting with internal productivity.
Qualification
Depth in evaluation and measurementWorking literacy in modern MLSound business judgmentComfort operating in ambiguityInterested in the roleAt WHOOPThe U
Required
Experience shipping AI or machine learning products, where the underlying capability was probabilistic rather than deterministic.
Depth in evaluation and measurement: you have defined how something gets measured, not only reported on it.
Working literacy in modern ML: you understand what fine-tuning is and the main flavors of it, what RL-based post-training is for, and how the current generation of techniques fits together. You do not need to implement them, but you should know what they buy you and what they cost.
Experience with platform or internal-facing products, where the users are other teams.
Technical fluency sufficient to partner with research and engineering as a peer, and to translate model behavior into member experience.
A track record of driving cross-team programs with many dependencies and no direct authority.
Sound business judgment: you can quantify a tradeoff, reason about cost, and decline work that will not pay for itself.
Comfort operating in ambiguity, with evidence of turning a broad set of possibilities into one well-scoped bet.
Preferred
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $155,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
