Easy Apply
Easy Apply
Similar Jobs at WHOOP
Fitness • Hardware • Healthtech • Sports • Wearables
Lead security incident response efforts, coordinating investigations, containment, and remediation while improving response practices and metrics.
Top Skills:
Cloud Security MonitoringEdr ToolsSiem Platforms
Fitness • Hardware • Healthtech • Sports • Wearables
Support day-to-day security operations by triaging alerts, investigating incidents across endpoint/identity/cloud/SaaS, managing ticket queues, coordinating incident response, conducting threat hunting, running phishing simulations, improving detection and automation, and maintaining operational playbooks.
Top Skills:
Cloud Logging PlatformsEdrIdentity SystemsMitre Att&CkPhishing Simulation PlatformsSIEM
Fitness • Hardware • Healthtech • Sports • Wearables
Manage and grow WHOOP's North America creator and ambassador programs, oversee day-to-day creator operations, execute regional talent strategy, develop contracts and renewals, report on social and commercial KPIs, support localized campaign execution, collaborate cross-functionally, and lead experiential programming at WHOOP HQ.
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
- 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
- Oversee health data governance workflows relevant to ML development, including data collection, labeling, dataset management, and data quality processes
- 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:
- 5+ years of experience in an ML role or technical program 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
- Experience with developing algorithms for Software as a Medical Device (SaMD), medical device development, or other regulated product development (FDA, IEC 62304, ISO 13485, ISO 14971)
- 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 regulatory workstreams
- Clear, confident communicator who can bridge deeply technical ML teams and business, regulatory, and clinical stakeholders
- Data-driven approach to program planning and tracking, comfortable defining and reviewing metrics to measure program health and success
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
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.
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
