Program Manager, Foundation AI

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, 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.
• Understanding of technical issues to facilitate resolution of project blockers is a plus

Requirements

• Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success

Preferred

• Experience working with research teams
• Background in consumer technology, platforms, or data-driven products
• Experience organizing projects using Jira or similar platforms

QUALIFICATIONS

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, backlog grooming processes
• 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

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.

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 $

$125,000-$175,000

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.

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