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Lead Technical Program Manager, AI Platform

Wayve · London, United Kingdom

Publicada em 06/10/2026

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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 TeamWayve’s Program Management team turns complex technical goals into coordinated delivery. Working closely with engineering, research and product teams, we align priorities, manage dependencies and bring clarity to ambiguous challenges. We combine technical depth with cross-functional leadership to help teams move faster, more effectively and with purpose—focusing on meaningful outcomes rather than process for its own sake.As part of this team, you’ll build and lead the technical programme management function supporting our AI Platform organisation. AI Platform builds the data and compute infrastructure, model-development workflow tooling, training technology, compute management, and embedded and inference optimisation that enable Wayve’s models to be trained, iterated and deployed onto the vehicle.The systems this organisation delivers determine how quickly Wayve can develop and ship models, how efficiently we use compute, and how well our models perform in training and on the vehicle.🧠 Your day-to-dayBuild, coach and support a small, high-impact TPM team, helping people develop their skills, work through challenges and raise the standard of programme delivery.Act as a trusted delivery partner to AI Platform and Engineering leadership, aligning priorities, challenging trade-offs and holding teams accountable for meaningful outcomes.Work across ML and research, infrastructure, embedded and on-vehicle engineering teams, as well as cloud and vendor partners, to manage dependencies, surface risks and remove blockers.Use KPIs, dashboards and operational reviews to understand delivery progress, identify bottlenecks and st
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