Vp, Product (ai)

Whoop Whoop · Consumer · Boston, MA · Product

VP, Product (AI) at Whoop responsible for setting and owning the AI product vision and roadmap, translating research into shippable products, and leading cross-functional teams to launch and measure AI-powered experiences. The role focuses on evolving the WHOOP experience into a daily AI companion, driving proactive guidance and individualized support. Requires demonstrated success in shipping AI-powered consumer products at scale, deep understanding of generative AI and ML, and experience leading teams in ambiguous environments. Emphasis on ethical, privacy-conscious AI in a regulated health environment.

What you'd actually do

  1. Set and own the AI product vision and roadmap across WHOOP, translating advanced research and emerging AI capabilities into meaningful, shippable products that improve members’ health and lives
  2. Own the end-to-end lifecycle of AI-powered experiences, from discovery and prioritization through development, launch, and performance measurement—ensuring ideas translate into real, measurable health outcomes
  3. Reimagine WHOOP as a daily AI companion, evolving the experience from tracking to truly proactive guidance, anticipatory coaching, and deeply individualized support that grows with the body over years
  4. Lead and mobilize cross-functional teams—Product, Engineering, Research Algorithms and Data Science, Analytics, and Design—to move quickly from idea to launch with clarity, urgency, and shared purpose
  5. Build and lead a world-class AI Product organization, hiring exceptional talent, coaching and developing product leaders, and establishing best-in-class product practices that increase clarity, velocity, and impact

Skills

Required

  • AI product vision and roadmap
  • end-to-end product lifecycle management
  • generative AI
  • machine learning
  • personalization
  • health data
  • cross-functional team leadership
  • experimentation and data-driven decision making
  • strategic thinking
  • building and leading product teams
  • foundation models
  • responsible AI practices

Nice to have

  • AI companion development
  • proactive guidance systems
  • individualized health support
  • human-AI interaction models
  • thought leadership in AI for health

What the JD emphasized

  • shipping AI-powered consumer products at scale
  • highly regulated, high-stakes health environment
  • ethical, privacy-conscious AI

Other signals

  • AI product vision and roadmap
  • end-to-end lifecycle of AI-powered experiences
  • AI companion
  • shipping AI-powered consumer products at scale