Head of Applied AI
Boston, MAFull-TimeLeadAI / Data Science
RESPONSIBILITIES:
- Define and execute WHOOP’s applied AI strategy, integrating internal and external models across features, services, and operations
- Lead end-to-end development of AI solutions and features—from early prototyping to deployment and ongoing optimization.
- Own the roadmap for our generative AI and agentic platform, ensuring they deliver personalized coaching, insights, and experiences at scale
- Partner with Product, Software, Research, and Analytics to ensure AI initiatives align with strategic priorities and deliver measurable impact
- Build and develop a high-performing team of AI engineers, software engineers, and data scientists; foster a culture of technical rigor and ownership
- Guide architectural decisions, as well as model hosting, deployment, and tuning practices; stay hands-on when needed to drive technical excellence
- Ensure model quality, performance, privacy, and compliance with ethical AI principles
- Represent WHOOP in academic, industry, and partnership forums to elevate our innovation and attract top-tier AI talent
QUALIFICATIONS:
- 10+ years of experience in AI, machine learning, data science, software engineering including 5+ years in a leadership role
- Proven success building, leading, and scaling cross-functional AI teams in production environments
- Deep technical expertise in generative AI, large language models, and agentic systems, including both open-source and close-source models
- Strong experience with the full applied AI lifecycle—including prompt engineering, model experimentation, deployment (MLOps), and fine-tuning, and reinforcement learning
- Demonstrated ability to align AI initiatives with business strategy and create measurable value
- Excellent communication skills with the ability to influence across technical, executive, and cross-functional audiences
- Experience collaborating with Product, Engineering, and Research leaders to deliver integrated solutions
- Background in health tech, performance science, or high-complexity domains is a plus
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
