At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into fitness, health, and recovery.
The AI Quality team at WHOOP is responsible for ensuring the reliability, performance, and integrity of the AI models that power these insights, delivering cutting-edge AI technologies that our members can trust.
As an Engineering Manager at WHOOP, you will have both technical and people management responsibilities. On the technical side, you will partner with product and engineering leaders to uphold our "Measure What Matters" principle, ensuring every AI initiative has clear, visible, and actionable metrics. You will guide a team of AI and ML engineers in developing robust technical designs, architecture, and operational excellence. You will embody our "Decisions Over Consensus" principle, providing clear technical direction and documenting the rationale for high-stakes AI architecture choices.
On the people management side, you will foster a culture of innovation, teamwork, psychological safety, and continuous learning, ensuring all team members feel empowered to do their best work.
RESPONSIBILITIES:
Lead and manage a team of cross-skilled engineers responsible for measuring and improving the quality of AI outputs.
Champion the "Measure What Matters" principle by establishing rigorous testing frameworks to evaluate model drift and performance.
Exercise "Decisions Over Consensus" to provide clear technical direction and resolve alignment stalls for the team.
Manage third-party vendor relationships, overseeing both technology integration and partnership performance.
Define technical strategy, architecture, and design for AI quality.
Drive continuous improvement initiatives to optimize engineering productivity and quality.
Provide mentorship and coaching to team members to support their professional growth.
QUALIFICATIONS:
5+ years of experience in software engineering, with significant experience building and measuring the quality of AI/ML products.
Proven experience managing third-party vendor relationships and technology partnerships.
Strong technical skills in Applied AI, Machine Learning, and software deployment lifecycles.
Excellent communication, interpersonal, and people management skills.
Passion for wearable technology and experience thriving in a fast-paced, high-growth environment.
Experience managing an AI product at scale is a plus.
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework.
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.
Skills Required
- 5+ years of software engineering experience
- Significant experience building and measuring the quality of AI/ML products
- Experience managing third-party vendor relationships and technology partnerships
- Strong technical skills in Applied AI and Machine Learning
- Experience with software deployment lifecycles
- Excellent communication, interpersonal, and people management skills
- Passion for wearable technology
- Experience managing an AI product at scale
WHOOP Compensation & Benefits Highlights
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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.
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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.
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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.
WHOOP Insights
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.

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