Whoop
Senior Technical Program Manager, Core Algorithms
Boston, MA · Senior · Full-time
Sponsorship not specified$150k-$215kDetected 7 days ago
AlgorithmsMachine LearningData ScienceLLMsProject ManagementAgileStakeholder ManagementSignal ProcessingResearchLeadershipCommunication
About the role
- This is not a traditional program management role.
- You need to understand the ML development lifecycle deeply enough to anticipate risks, ask the right questions, and ensure that decisions are made with the appropriate technical context.
- WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.
Responsibilities
- Own end-to-end program management for core algorithm development initiatives, from early research and data collection through model development, validation, and production deployment
- Partner with leadership to translate algorithm and sensing strategy into executable program plans with clear milestones, dependencies, risk profiles, and success criteria
- Plan and manage algorithm development timelines with full awareness of cross-functional dependencies across data collection, signal processing, software, firmware, and product teams
- Drive cross-functional alignment by working directly with product managers, engineering leads, and data collection groups to ensure shared understanding of priorities, timelines, and deliverables
- develop and drive mitigation plans
- Facilitate and maintain program governance including planning cadences, design reviews, decision forums, and cross-team syncs
- Build and continuously improve AI-enabled tools, workflows, and automations to increase program management effectiveness, including status tracking, dependency mapping, risk monitoring, and stakeholder communication
- Proactively identify future risks, obstacles, and dependencies before they become blockers; develop and drive mitigation plans
Requirements
- 4+ years of experience in technical program or project management, with direct experience supporting AI/ML, data science, or algorithm development teams
- Ability to understand technical concepts deeply enough to identify risks, ask critical questions, and facilitate resolution of blockers across ML, data, software, and firmware workstreams
- Experience managing complex, multi-team programs with significant cross-functional dependencies
- Demonstrated understanding of the ML development lifecycle, including data collection, model training, evaluation, validation, and deployment
- Fluency with AI tools (e.g., LLMs, automation platforms, workflow builders) and a demonstrated track record of building or adopting AI-powered workflows to increase speed and scale of program execution
- Clear, confident communicator who can bridge deeply technical ML teams with product and business stakeholders
- Proven ability to drive alignment across diverse teams with competing priorities
- Data-driven approach to program planning and tracking, comfortable defining and reviewing metrics to measure program health and success
- Fluency with agile methodologies, sprint planning, and backlog management processes and associated tooling
- High ownership mentality with a bias for action and comfort operating in ambiguity
Compensation
- The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
Benefits
- Experience working in consumer health products or wearable technology
- Familiarity with algorithm development pipelines that depend on real-world physiological, health, or behavioral data
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.