Program Manager, Foundation AI

About the Role

As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models powering WHOOP features. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale.

Responsibilities

• Drive Foundation AI projects from kickoff through development to deployment and stabilization.
• Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics.
• Develop project plans consistent with business goals and requirements for algorithm performance.
• Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication.
• Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, and Firmware to ensure project objectives and priorities are aligned across departments.
• Bring together key stakeholders to facilitate timely and lasting decision-making.
• Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors.
• Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner.
• Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts.
• Facilitate cross-functional communication across WHOOP for awareness and understanding.

Qualifications

Required

• 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms, or large-scale systems.
• Experience working with AI or applied ML teams.
• Familiarity with agile methodologies, sprint planning, and backlog grooming processes.
• Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success.
• Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation); hands-on coding experience is not required.
• Clear, confident communicator who can bridge deeply technical teams and business stakeholders.
• Proven ability to influence without authority and drive alignment across diverse teams.

Nice to Have

• Experience working with research teams.
• Background in consumer technology, platforms, or data-driven products.
• Experience organizing projects using Jira or similar platforms.
• Understanding of technical issues to facilitate resolution of project blockers.