Senior Technical Program Manager, Core Algorithms

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Boston, MA, USA
Hybrid
Senior level
Fitness • Hardware • Healthtech • Sports • Wearables
Power your performance with 24/7 data
The Role
Lead end-to-end program management for core algorithm development, coordinating ML engineers, product, signal processing, software, firmware, and data collection. Translate strategy into executable plans, manage timelines and risks, report to leadership, maintain governance, and build AI-enabled tools and automations to improve program execution.
Summary Generated by Built In

WHOOP is on a mission to unlock human performance and healthspan. Our AI/ML - Core Algorithms team develops the machine learning models and algorithms that power WHOOP's member-facing features, translating wearable data into actionable insights for millions of users. This role is critical to ensuring those efforts are executed with the coordination, rigor, and pace required to deliver world-class algorithmic products.

As a Senior Technical Program Manager, you will be embedded within the Core Algorithms (Cloud) team and serve as the connective tissue across the cross-functional teams required to bring algorithms from research through validation to production. You will work directly with machine learning engineers and applied ML scientists developing core algorithms. You will coordinate cross-functionally with product managers, signal processing engineers, software engineers, firmware engineers, and data collection groups to plan, track, and drive delivery of complex, multi-disciplinary algorithm programs.

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. You will also be expected to 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 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

Qualifications

    • 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

    •  

      Preferred:


      • Experience working in consumer health products or wearable technology

      • Familiarity with algorithm development pipelines that depend on real-world physiological, health, or behavioral data


Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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.

At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.

The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. 

In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Skills Required

  • 4+ years of experience in technical program or project management supporting AI/ML, data science, or algorithm teams
  • Demonstrated understanding of the ML development lifecycle (data collection, training, evaluation, validation, deployment)
  • Fluency with AI tools (e.g., LLMs) and experience building or adopting AI-powered workflows and automations
  • Ability to understand technical concepts to identify risks and facilitate resolution across ML, data, software, and firmware
  • Experience managing complex, multi-team programs with significant cross-functional dependencies
  • Clear, confident communicator capable of bridging 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 program health metrics
  • Fluency with agile methodologies, sprint planning, backlog management processes and associated tooling
  • High ownership mentality, bias for action, and comfort operating in ambiguity
  • Experience working in consumer health products or wearable technology
  • Familiarity with algorithm development pipelines using real-world physiological, health, or behavioral data

What the Team is Saying

Josh
Manan Dedhia
Anahis

WHOOP Compensation & Benefits Highlights

  • Parental & Family Support Paid parental leave is listed at 18 weeks with an additional 2‑week transition period, signaling strong support for new parents. This depth stands out relative to typical packages highlighted in the materials.
  • Wellbeing & Lifestyle Benefits Medical, dental, and vision coverage are paired with a $500 annual wellness stipend, a free WHOOP membership plus one to gift, daily meals at the Boston HQ, and access to a gym and recovery tools. These health‑aligned perks reinforce a recovery‑first total rewards philosophy.
  • Equity Value & Accessibility Roles are described as eligible for stock options alongside salary, indicating accessible ownership as part of total rewards. This equity component is consistently highlighted in company materials and third‑party summaries.

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The Company
HQ: Boston, MA
500 Employees
Year Founded: 2012

What We Do

At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
HQBoston, MA
Limerick, Limerick, V94 4D83 Ireland
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