Senior Program Manager, Foundational AI
Boston, MAFull-TimeManagerAI / Data Science
RESPONSIBILITIES:
- Drive Foundational AI projects from kickoff through development to deployment and stabilization
- Support the VP of Foundational 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, 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 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.
- Understanding of technical issues to facilitate resolution of project blockers is a plus
QUALIFICATIONS:
- 4+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems
- Experience working with research teams
- Familiarity with agile methodologies, sprint planning, 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
- Experience working with AI research or applied ML teams preferred
- Background in consumer technology, platforms, or data-driven products preferred
- Experience organizing projects using Jira or similar platforms preferred
- Experience incorporating AI tools into workflows
