Director of Platform Management for Simulation, Evaluation & Validation

About the role

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As Director of Platform Management for Simulation, Evaluation & Validation , you will lead the overall product vision and director for the platforms that Wayve uses to develop, evaluate, and validate the AI Driver. This includes open and closed loop simulation platforms, the evaluation test platform, synthetic data production, critical event pipelines, validation, and the workflows that connect them. You will directly lead and indirectly influence sub team platform leads across Simulation, Evaluation, Data, and Validation to convert a complex set of cross-cutting initiatives into a single, opinionated product strategy. The job is part developer-tools PM (your users are engineers and scientists who will tell you immediately when something is slow, wrong, or in the way), part platform PM (your roadmap has to compose across simulators, datasets, evaluation, and triage), and part safety-systems PM (the outputs gate releases that put cars on real roads). You will help shape and set vision for how our tools and services should function and work in an AV2.0 context - a Wayve-pioneered approach to both the driving stack and offline development.

Responsibilities

• Lead and grow the team. Manage and mentor the product managers embedded across. Hire to fill gaps, level up the craft, and build a highly capable lean team.
• Build world class developer experiences. Run regular user research with Autonomy, Science, Validation, Release, and Product teams. Maintain a clear picture of what each customer segment needs from the platform, where the friction is, and which gaps are quietly bleeding velocity.
• Define and defend quality bars for an internal platform. Set platform-wide standards for reliability, latency, cost per unit (per simulation, per evaluation, per enriched hour), self-service, observability, and API stability. Treat platform regressions the way a consumer team treats a churn spike.
• Establish regular operational cadences. Lead monthly business reviews and close the loop on requests and progress reporting with the leadership team. Lead quarterly planning, KPI reviews, and the trade-off conversations.
• Represent the platform externally. Help Wayve's leadership tell a credible story about how we develop and validate the AI Driver - to OEM partners, regulators, and at relevant industry forums.
• About You
• In order to set you up for success at Wayve, we're looking for the following skills and experience.
• Essential
• 0+ years of product management experience , with at least 3-5 years leading PM teams (PMs and/or senior PMs reporting to you).
• 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.
• Insight-driven leader. A record of producing th

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