EU remote
Customer Program Manager
About this role
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Program Management Teams We’re seeking an exceptional Customer Program Manager to join our Germany-based team focused on localising and advancing Wayve’s autonomous driving technology for the German market.
This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up. 🧠 Your day-to-day Lead cross-functional teams in executing complex customer programs, ensuring the successful achievement of program objectives. Establish and maintain a comprehensive project management framework, including project planning, risk management, change management, and task coordination. Engage with customers to understand and address their technical requirements and needs.
Collaborate closely with teams across Product, R&D, and other departments to translate customer demands into clear, actionable technical requirements. Ensure efficient reporting both externally to customers and internally within the organisation. Work closely with internal development teams to align customer requirements with internal milestone planning and execution. Provide first-level support to customers, ensuring their needs are met promptly and effectively.
🧩 What you’ll be working on In this role, you will be responsible for leading and overseeing programs with OEM customers, spanning from early-stage advanced development initiatives to full-scale production programs. You will collaborate closely with the customer to define and manage project plans, ensuring that requirements are seamlessly integrated into the internal development pipeline and delivered on schedule. A deep understanding of the automotive industry and the development of embodied AI systems is essential to effectively guide these programs, identify and report potential risks, and implement a robust change management.