Lead Technical Program Manager, AI Platform

In order to set you up for success as a Lead Technical Program Manager, AI Platform at Wayve, we're looking for the following skills and experience.

8+ years in platform / infrastructure: Deep, hands-on experience delivering platform or infrastructure programs as a technical program manager - compute, ML infra, developer tooling, training or inference systems - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action.

People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.

Highly technical: Credible with engineers across ML infrastructure, compute, and embedded systems, even though you won't write production code. A genuinely technical TPM who can go deep with platform and systems engineers. Strong understanding of Machine Learning, GPUs, and the training and inference of large (500M-20B+ parameter) models, plus the compute and orchestration that support them. Embedded / on-vehicle systems experience - inference optimisation, model deployment to constrained edge / embedded compute, and the hardware-software trade-offs involved. Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development / experiment workflow tooling. Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex.

Strong understanding of Machine Learning, GPUs, and the training and inference of large (500M-20B+ parameter) models, plus the compute and orchestration that support them.

Embedded / on-vehicle systems experience - inference optimisation, model deployment to constrained edge / embedded compute, and the hardware-software trade-offs involved.

Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development / experiment workflow tooling.

Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex.

Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.

Systems thinking: You reason about how the parts of a complex platform / systems stack fit together, and how a change in one area ripples into others.

Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.

Exceptional cross-functional leadership: You align and influence across ML / research, infrastructure, embedded, and engineering without relying on authority.

Strategic & business impact: You link platform investment to measurable outcomes - developer velocity, compute efficiency, cost, and model performance.

Clear, data-driven communicator: You set direction with clarity and steer with the right metrics.

Growth mindset: Open to feedback and always looking to improve.

Working experience with a large-scale ML / compute platform used by 100s of engineers and researchers.

Embedded / edge inference, on-device model optimisation, or hardware-aware ML experience.

Background in autonomous vehicles, robotics, or another large-scale ML / infrastructure program.

An engineering or computer science degree, or experience working as an engineer.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.