ashby
Program Manager, Foundation AI
Whoop
Boston, USA
Full-time
Manager · 2+ years experience
Onsite
USD 125000-175000 / year
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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
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
- 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
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