Engineering Manager, Sensor Intelligence; Edge AI

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.

We are seeking an Engineering Manager, Sensor Intelligence (Edge AI) to lead a team of embedded machine learning engineers building scalable algorithms deployable on constrained edge devices. Your team will design, optimize, and maintain ML algorithms that run directly on WHOOP wearables devices, transforming raw physiological signals into robust, real-time insights.

As a leader, you will combine technical depth in edge/embedded ML with strong people management skills. You will set direction, drive execution, and partner closely with cross-functional teams to ensure WHOOP’s edge intelligence is accurate, efficient, and reliable in real-world conditions.

• Lead and Develop a High-Performing Team: Manage, mentor, and support Sensor Intelligence Engineers focused on embedded ML, providing regular feedback, coaching, and clear growth paths.
• Own Edge-Deployed Algorithms: Oversee the design, implementation, and maintenance of machine learning algorithms running on WHOOP’s wearable platform, ensuring they perform reliably on resource-constrained devices.
• Collaborate with Cross-Functional Partners: Work closely with Data Science, WHOOP Labs, Firmware, Software, and Product to define requirements, integration points, and success metrics for edge-deployed algorithms.
• Optimize for Performance and Power: Lead the team in balancing accuracy, latency, memory usage, and power consumption, including the use of techniques such as model compression, quantization, and efficient architectures.
• Champion Engineering Rigor: Establish and uphold best practices for testing, code quality, documentation, and observability for algorithms deployed on embedded platforms.
• Contribute to Technical Strategy: Help define the roadmap and long-term strategy for edge AI at WHOOP, including platform capabilities, tooling, and approaches for safely updating models in the field.
• Support Recruiting and Org Building: Partner with recruiting to attract and hire top embedded ML talent, and help shape the culture and operating model of the Sensor Intelligence Group.

• Proven experience as a technical leader managing multiple teams or a growing engineering organization.
• Experience growing high level individual contributor career growth at the staff level or higher.
• 5+ years of industry experience in signal processing, machine learning, embedded systems, or a closely related field, including 2+ years in a people management or technical lead role with mentorship responsibilities.
• Strong programming proficiency in C and/or C++, with additional experience in Python or similar languages for prototyping and model development.
• Hands-on experience developing and optimizing machine learning models or algorithms for embedded, including deployment on devices with limited compute, memory, and power budgets.
• Proven ability to lead projects end-to-end, collaborating with cross-functional partners and balancing technical tradeoffs against product and business needs.
• Excellent written and verbal communication skills, with a track record of conveying complex technical topics to diverse audiences and aligning stakeholders around decisions.
• Passion for building high-performing teams, fostering growth, and creating systems that scale to power WHOOP’s mission.

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…