Lead and scale high-performing teams of machine learning and signal processing engineers, including senior ICs and tech leads

Define and drive the roadmap for core algorithm systems and on-device intelligence

Guide key architectural and technical tradeoffs across accuracy, latency, power, and system constraints

Deliver end-to-end sensor-driven features from research through production deployment

Drive cross-functional execution across Firmware, WHOOP Labs, and Product; align stakeholders and manage complex dependencies
Establish best practices for algorithm development, validation, integration, and lifecycle management

Balance long-term innovation with near-term product delivery

Develop technical leaders and foster a culture of execution excellence

Proven experience leading engineering teams in machine learning, signal processing, or embedded systems, including managing senior ICs or tech leads

Strong track record of delivering sensor-driven algorithms or systems into production environments

Experience working across hardware, firmware, and data science boundaries, with a systems-level mindset

Demonstrated ability to define and communicate technical strategy and guide teams through ambiguity

Experience driving cross-functional programs, aligning stakeholders, and influencing without direct authority

Strong communication skills, with the ability to translate complex technical concepts to diverse audiences

Passion for building teams, developing talent, and scaling engineering organizations