Senior Technical Program Manager, Health ML Machine Learning & Research Boston, MA Boston, MA WHOOP is on a mission to unlock human performance and healthspan. Our Health Machine Learning team develops the algorithms and models that power health features used by millions of members. This role is critical to ensuring those efforts are executed with the rigor, coordination, and pace required to deliver world-class health products. As a Senior Technical Program Manager, you will serve as the connective tissue across the cross-functional teams required to bring health algorithms from research through validation to production. You will work directly with machine learning engineers and applied ML scientists developing the health algorithms. You will coordinate cross-functionally with product managers, regulatory and quality teams, clinical scientists, software engineers, and firmware engineers to plan, track, drive delivery of complex, multi-disciplinary health programs. Success in this role requires a deep understanding of the ML development lifecycle in order to anticipate risks, ask the right questions, and ensure that decisions are made with the appropriate technical context. You will also leverage and build AI-powered tools and workflows to increase the speed, visibility, and rigor of program execution. WHOOP is on a mission to unlock human performance and healthspan. Our Health Machine Learning team develops the algorithms and models that power health features used by millions of members. This role is critical to ensuring those efforts are executed with the rigor, coordination, and pace required to deliver world-class health products. As a Senior Technical Program Manager, you will serve as the connective tissue across the cross-functional teams required to bring health algorithms from research through validation to production. You will work directly with machine learning engineers and applied ML scientists developing the health algorithms. You will coordinate cross-functionally with product managers, regulatory and quality teams, clinical scientists, software engineers, and firmware engineers to plan, track, drive delivery of complex, multi-disciplinary health programs. Success in this role requires a deep understanding of the ML development lifecycle in order to anticipate risks, ask the right questions, and ensure that decisions are made with the appropriate technical context. You will also leverage and build AI-powered tools and workflows to increase the speed, visibility, and rigor of program execution. 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 eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The 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 $150,000 - $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. RESPONSIBILITIES:

Own end-to-end program management for health algorithm development initiatives, from early research and data collection through model development, validation, regulatory submission, and production deployment

Partner with leadership to translate health feature strategy into executable program plans with clear milestones, dependencies, risk profiles, and success criteria

Plan and manage ML development timelines with full awareness of cross-functional dependencies across data engineering, clinical, regulatory, quality, software, firmware, and product teams

Drive cross-functional alignment by working directly with program managers and leads on partner teams to ensure shared understanding of priorities, timelines, and deliverables

Proactively identify future risks, obstacles, and dependencies before they become blockers; develop and drive mitigation plans

Report program status, risks, and key decisions to leadership with clarity and precision; flag issues early and with proposed solutions

Facilitate and maintain program governance including planning cadences, design reviews, decision forums, and cross-team syncs

Oversee health data governance workflows relevant to ML development, including data collection, labeling, dataset management, and data quality processes

Build and continuously improve AI-enabled tools, workflows, and automations to increase program management effectiveness, including status tracking, dependency mapping, risk monitoring, and stakeholder communication

QUALIFICATIONS:

5+ years of experience in an ML role or technical program management, with direct experience supporting AI/ML, data science, or algorithm development teams

Demonstrated understanding of the ML development lifecycle, including data collection, model training, evaluation, validation, and deployment

Experience with developing algorithms for Software as a Medical Device (SaMD), medical device development, or other regulated product development (FDA, IEC 62304, ISO 13485, ISO 14971)

Fluency with AI tools (e.g., LLMs, automation platforms, workflow builders) and a demonstrated track record of building or adopting AI-powered workflows to increase speed and scale of program execution

Ability to understand technical concepts deeply enough to identify risks, ask critical questions, and facilitate resolution of blockers across ML, data, software, and regulatory workstreams

Clear, confident communicator who can bridge deeply technical ML teams and business, regulatory, and clinical stakeholders

Data-driven approach to program planning and tracking, comfortable defining and reviewing metrics to measure program health and success

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