Senior Technical Program Manager, Core Algorithms

Whoop!

Senior Technical Program Manager managing AI/ML core algorithm development initiatives at WHOOP. Collaborating with cross-functional teams to deliver impactful algorithmic products.

Posted 7/14/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSenior💰 $150,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in end-to-end program management for AI/ML algorithm development, including risk identification, cross-functional alignment, and effective communication with technical and business stakeholders. Proficient in agile methodologies and data-driven program planning to ensure successful project execution.

Highest-signal resume keywords

Technical Program ManagementAI/ML Development LifecycleAgile MethodologiesCross-Functional CollaborationRisk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Program ManagementData CollectionModel TrainingModel ValidationDeploymentMetrics DefinitionWorkflow AutomationDependency MappingStatus TrackingBacklog Management

Soft Skills

Clear CommunicationProblem SolvingOwnership MentalityFacilitationAlignment Driving

Tools & Technologies

AI ToolsAutomation PlatformsWorkflow BuildersAgile ToolingSprint Planning Tools

Industry Keywords

Algorithm DevelopmentData ScienceCross-Functional DependenciesProgram GovernanceStakeholder Communication

About the role

Key responsibilities & impact

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
Proactively identify future risks, obstacles, and dependencies before they become blockers; develop and drive mitigation plans
Report program status, risks, and key decisions to leadership with clarity and precision; flag issues early and with proposed solutions
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

Requirements

What you’ll need

4+ years of experience in technical program or project management, with direct experience supporting AI/ML, data science, or algorithm development teams
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
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
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

Benefits

Comp & perks

Competitive base salaries
Meaningful equity
Generous equity package