Senior Manager of Machine Learning (Health Insights Team)

Join WHOOP, a company dedicated to unlocking human performance and healthspan. As a Senior Manager of Machine Learning on the Health Insights team, you will lead a mixed team of applied ML scientists and ML engineers, translating department strategy into clear quarterly plans and driving delivery and people outcomes. You will also partner with Product and adjacent Health partners to align on roadmap and evidence, and own the risk posture for the team. This role requires a strong background in machine learning and health, as well as excellent people leadership skills.

• Assurer la livraison et les résultats des personnes au sein de l'équipe de Machine Learning appliqué, en dirigeant une équipe mixte de scientifiques et d'ingénieurs.
• Traduire la stratégie du département en plans trimestriels clairs, en développant les IC seniors et en recrutant des talents de haut niveau.
• Collaborer directement avec les équipes Produit et les partenaires de la santé pour aligner la feuille de route, les preuves et la séquence.

• 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams
• Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work
• Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable
• Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes health features preferred
• Depth in a Health domain WHOOP already works in preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work)
• Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them
• Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence
• Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain
• Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred
• Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction
• Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes
• Deep familiarity with the ML development lifecycle: data collection, model training, evaluation, validation, deployment, and monitoring, sufficient to evaluate the most important technical and methodological decisions your team makes
• Fluency operating across regulatory, quality, and clinical stakeholders, including familiarity with V&V, traceability, change control, design history, and audit readiness in fast-moving ML programs
• Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field
• Demonstrated track record junior and senior ICs, including hiring, performance management, and developing people who in turn raise the bar around them
• 7+ years of experience in ML, applied science, or software engineering, with 3+ years managing engineering and/or science teams
• Demonstrated ability to set strategy and make timely prioritization calls under uncertainty, keeping the team focused on the highest-leverage work
• Direct experience shipping algorithms or ML-enabled software in a regulated environment (Software as a Medical Device, medical device development, or comparable QMS-controlled product development under FDA, IEC 62304, ISO 13485, ISO 14971)
• Interested in the role, but don’t meet every qualification? We encourage you to still apply!
• Clear, high-signal communicator who can move fluidly between deeply technical ML/regulatory discussions and executive-level summaries of risk, trade-offs, and direction