Director of Platform Management (Simulation, Evaluation & Validation)

Join Wayve, a pioneering company in the field of autonomous vehicles. As the Director of Platform Management for Simulation, Evaluation & Validation, you will lead the product vision and strategy for the platforms used to develop, evaluate, and validate the AI Driver. You will manage and mentor product managers, build world-class developer experiences, and represent the platform externally. This role requires a strong background in product management, data-driven decision making, and experience in autonomous vehicles or safety-critical AI/ML programs.

• Lead the overall product vision and direction for the platforms used to develop, evaluate, and validate the AI Driver, including simulation platforms and validation workflows.
• Translate company-level priorities into a coherent product roadmap across simulation, evaluation, and validation initiatives, driving trade-offs between different internal and external customer groups.
• Manage and mentor the product managers embedded across the team, hiring to fill gaps and building a highly capable lean team.
• 8+ years of product management experience, with at least 3–5 years leading PM teams (PMs and/or senior PMs reporting to you)
• We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply
• Insight-driven leader. A record of producing the analysis or framing that changed a "go/no-go" decision on a complex AI or robotics program
• Track record building internal platforms, developer tools, or ML/AI evaluation infrastructure — products whose users are engineers and scientists, where the bar is set by power users with strong opinions and the ability to route around you if the tool isn't good enough
• Data driven. You always seek to answer questions with data and lean into defining the right customer facing KPIs indicative of success
• Systems thinking across hardware, AI, and product. You understand how decisions in one part of the stack (data, simulator fidelity, metric design) propagate into outcomes (release confidence, on-road performance, regulator trust) elsewhere
• AI Fluency. You not only regularly use but are a standard bearer in the application of AI tools to the job
• Product craft. You care about workflows, latency, errors-per-hour, and how a tool feels. You apply product management best practices to measuring user experience
• Prior experience in autonomous vehicles, robotics, or another safety-critical AI/ML program (L2+, L4, surgical robotics, aerospace autonomy, etc.)
• Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems
• Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tools at production scale
• Experience with internal developer platforms (CI/CD, ML platforms, data platforms) at scale