WHOOP
Healthcare
SeniorTechnicalProgramManager,HealthML
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Technical Program Manager, Health ML at WHOOP. Skills: Health ML, Technical program management, MLOps. Own program management. Translate strategy into plans”
What You'll Achieve.
Deliver world-class health products; Increase speed of execution; Increase visibility of execution; Increase rigor of execution
Industry & Context.
Identify risks; Resolve blockers
What They're Looking For.
Must Have
5+ years ML role, 5+ years technical program management, ML development lifecycle understanding, AI tools fluency, AI-powered workflows track record, Understand technical concepts deeply, Clear, confident communicator, Data-driven approach
Nice to Have
Experience with SaMD, Medical device development experience, Regulated product development experience
What You'll Do.
Own program management
Translate strategy into plans
Plan ML development timelines
Drive cross-functional alignment
Identify future risks
Report program status
Facilitate program governance
Oversee data governance workflows
Build AI-enabled tools
How You'll Work.
Team & Collaboration
Cross-functional teams; Partner teams; ML engineers; Applied ML scientists; Product managers; Regulatory teams; Quality teams; Clinical scientists; Software engineers; Firmware engineers
Communication Scope
Bridge technical teams; Bridge business stakeholders; Bridge regulatory stakeholders; Bridge clinical stakeholders
Process & Methodology
Program management, Roadmap planning, Risk assessment, Dependency mapping, Status tracking
Full Job Description
WHOOP is on a mission to unlock human performance and healthspan. Our Health Machine Learning team develops the algorithms and models that power health features used by millions of members. This role is critical to ensuring those efforts are executed with the rigor, coordination, and pace required to deliver world-class health products. As a Senior Technical Program Manager, you will serve as the connective tissue across the cross-functional teams required to bring health algorithms from research through validation to production. You will work directly with machine learning engineers and applied ML scientists developing the health algorithms. You will coordinate cross-functionally with product managers, regulatory and quality teams, clinical scientists, software engineers, and firmware engineers to plan, track, drive delivery of complex, multi-disciplinary health programs. Success in this role requires a deep understanding of the ML development lifecycle in order to anticipate risks, ask the right questions, and ensure that decisions are made with the appropriate technical context. You will also leverage and build AI-powered tools and workflows to increase the speed, visibility, and rigor of program execution. RESPONSIBILITIES: - - Own end-to-end program management for health algorithm development initiatives, from early research and data collection through model development, validation, regulatory submission, and production deployment - Partner with leadership to translate health feature strategy into executable program plans with clear milestones, dependencies, risk profiles, and success criteria - Plan and manage ML development timelines with full awareness of cross-functional dependencies across data engineering, clinical, regulatory, quality, software, firmware, and product teams - Drive cross-functional alignment by working directly with program managers and leads on partner teams to ensure shared understanding of priorities, timelines, and deliverables - Proa
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