Role overview

WHOOP is seeking a Program Manager for Foundation AI to join its Machine Learning & AI Research team in Boston. This role bridges technical AI/ML development with business strategy, overseeing the design and delivery of foundational AI systems that power WHOOP’s member-facing performance features. You will manage complex, cross-functional projects from conception through deployment, ensuring alignment across research, engineering, data science, and product teams.

Key responsibilities

Manage Foundation AI projects across their full lifecycle, from initial planning through development, deployment, and operational stabilization.
Partner with the VP of Foundation AI to convert strategic priorities into executable roadmaps with defined milestones, identified risks, mapped dependencies, and measurable success criteria.
Create detailed project plans that balance business objectives with technical performance requirements for algorithms and systems.
Establish program governance structures including planning schedules, status reporting protocols, decision-making forums, and communication channels for leadership.
Coordinate across Foundation AI, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, and Firmware teams to ensure consistent priorities and objectives.
Manage compute infrastructure planning in partnership with relevant teams, evaluating availability, forecasting capacity needs, analyzing vendor options, and making informed tradeoffs.
Identify project risks and issues proactively, developing and implementing mitigation strategies to minimize impact on timelines and outcomes.

Requirements

Minimum two years of industry experience in program or project management, ideally involving AI/ML systems, data platforms, or large-scale infrastructure.
Demonstrated experience working directly with AI or applied machine learning teams.
Familiarity with agile methodologies, sprint planning, and backlog management processes.
Ability to make decisions based on data and metrics, with skills to measure and track program success.
Working knowledge of AI/ML concepts including model training, inference, data pipelines, evaluation, and experimentation frameworks; hands-on coding is not required.
Strong communication skills with the ability to translate between deeply technical teams and business stakeholders.
Proven track record of influencing and building alignment across teams without direct authority.

What makes this role worth considering

This position offers the opportunity to shape the foundational systems that enable WHOOP’s innovation across its entire platform. You will work at the intersection of machine learning research, data engineering, and product development, collaborating with specialists across multiple disciplines. The role is based in WHOOP’s Boston office.