Director of Platform Management for Simulation, Evaluation & Validation

Wayve Wayve · Robotics · London, United Kingdom +1 · Simulation, Evaluation, Validation

Director of Platform Management for Simulation, Evaluation & Validation at Wayve, a leading Embodied AI technology developer for autonomous driving. This role focuses on defining the product vision and strategy for platforms used to develop, evaluate, and validate the AI Driver, including simulation, evaluation, synthetic data, and validation workflows. The position requires leading and growing a team of product managers, building excellent developer experiences, and setting quality standards for internal AI platforms. Prior experience in safety-critical AI/ML programs and familiarity with simulation/evaluation tools are desirable.

What you'd actually do

  1. Set product vision and strategy for the platforms.
  2. Own the product roadmap end-to-end.
  3. Lead and grow the team.
  4. Build world class developer experiences.
  5. Define and defend quality bars for an internal platform.

Skills

Required

  • 0+ years of product management experience, with at least 3–5 years leading PM teams
  • Track record building internal platforms, developer tools, or ML/AI evaluation infrastructure
  • Data driven
  • Systems thinking across hardware, AI, and product
  • Insight-driven leader
  • Product craft
  • AI Fluency

Nice to have

  • Prior experience in autonomous vehicles, robotics, or another safety-critical AI/ML program
  • Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tools at production scale
  • Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems
  • Experience with internal developer platforms (CI/CD, ML platforms, data platforms) at scale

What the JD emphasized

  • Track record building internal platforms, developer tools, or ML/AI evaluation infrastructure
  • safety-critical AI/ML program

Other signals

  • leading product vision for platforms that develop, evaluate, and validate AI Driver
  • setting product strategy for simulation, evaluation, and validation initiatives
  • building world class developer experiences for AI/ML teams
  • defining and defending quality bars for an internal AI platform
  • experience in autonomous vehicles, robotics, or other safety-critical AI/ML programs