Software Engineerin Manager (AI Quality)

Whoop•Boston, MA

18h•$150,000 - $215,000•Onsite

About The Position

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.

Requirements

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.
The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Nice To Haves

Experience managing an AI product at scale is a plus.

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.