Whoop

1 week ago

Senior Technical Program Manager, Core Algorithms

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Own end-to-end program management for core algorithm development, guiding work from early research and data collection through model development, validation, and production deployment. Translate algorithm and sensing strategy into executable plans with milestones, dependencies, risks, and success criteria. Drive cross-functional alignment across ML, data, signal processing, software, firmware, and product teams while building AI-enabled tools and workflows to improve visibility, tracking, and delivery rigor.

Location: Boston

Workplace: Hybrid

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key Responsibilities

•Own end-to-end program management for core algorithm development initiatives from research and data collection through model development, validation, and production deployment.
•Partner with leadership to turn algorithm and sensing strategy into executable program plans with milestones, dependencies, risk profiles, and success criteria.
•Plan and manage algorithm development timelines across data collection, signal processing, software, firmware, and product teams.
•Drive cross-functional alignment with product managers, engineering leads, and data collection groups to ensure shared priorities, timelines, and deliverables.
•Build and continuously improve AI-enabled tools and workflows for program execution, including status tracking, dependency mapping, risk monitoring, and stakeholder communication.

Pay and Benefits

Salary: USD 150,000 - 215,000 annually

Equity and Bonus:Equity

Key Requirements

•4+ years of experience in technical program or project management supporting AI/ML, data science, or algorithm development teams.
•Deep 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 experience building or adopting AI-powered workflows.
•Ability to understand technical concepts to identify risks, ask critical questions, and unblock ML, data, software, and firmware teams.
•Experience managing complex, multi-team programs with significant cross-functional dependencies.

Experience:4+ yearsAI/MLData scienceAlgorithm development

Skills:Cross-functional communicationData-driven planningRisk identificationHigh ownershipBias for action

Tech Stack:LLMsAutomation platformsWorkflow buildersAI/MLAgile methodologiesSprint planningBacklog management

Company Brief

Whoop

Whoop designs and sells a subscription-based wearable fitness tracker and analytics platform that monitors recovery, strain, and sleep to optimize athletic performance and daily health for consumers and professional athletes.

Industry: Wearables

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn

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Whoop

1 week ago

Senior Technical Program Manager, Core Algorithms

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Boston

Workplace: Hybrid

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key Responsibilities

•Own end-to-end program management for core algorithm development initiatives from research and data collection through model development, validation, and production deployment.
•Partner with leadership to turn algorithm and sensing strategy into executable program plans with milestones, dependencies, risk profiles, and success criteria.
•Plan and manage algorithm development timelines across data collection, signal processing, software, firmware, and product teams.
•Drive cross-functional alignment with product managers, engineering leads, and data collection groups to ensure shared priorities, timelines, and deliverables.
•Build and continuously improve AI-enabled tools and workflows for program execution, including status tracking, dependency mapping, risk monitoring, and stakeholder communication.

Pay and Benefits

Salary: USD 150,000 - 215,000 annually

Equity and Bonus:Equity

Key Requirements

•4+ years of experience in technical program or project management supporting AI/ML, data science, or algorithm development teams.
•Deep 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 experience building or adopting AI-powered workflows.
•Ability to understand technical concepts to identify risks, ask critical questions, and unblock ML, data, software, and firmware teams.
•Experience managing complex, multi-team programs with significant cross-functional dependencies.

Experience:4+ yearsAI/MLData scienceAlgorithm development

Skills:Cross-functional communicationData-driven planningRisk identificationHigh ownershipBias for action

Tech Stack:LLMsAutomation platformsWorkflow buildersAI/MLAgile methodologiesSprint planningBacklog management

Company Brief

Whoop

Industry: Wearables

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn