Lead Technical Program Manager, AI Platform

About us 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!  The role

As the Lead Technical Program Manager for AI Platform at Wayve, you'll build and lead the technical program management function for our AI Platform org - the data and compute infrastructure, model-development workflow tooling, training technology, compute management, and embedded / inference optimisation that get Wayve's models trained, iterated, and deployed onto the vehicle. This is the platform the whole company builds on.

You'll be the delivery partner to engineering leadership across AI Platform, driving predictable, high-leverage delivery of the systems that determine how fast Wayve can train and ship models. You'll lead flagship programs yourself while supporting and coaching a small, high-impact TPM team. Your impact is measured in developer velocity, compute efficiency and cost, training and inference performance, and how reliably the platform lands.

A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose.

Key Responsibilities Lead the function:
Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar.

Own platform delivery:
Partner with AI Platform leadership on planning, prioritisation, and execution across the platform roadmap - data & compute infra, dev tooling, training tech, compute management, and embedded / inference.

Trusted partner for Engineering:
You are a leader in the org. You will maintain the partnership with Engineering leaders to land big outcomes, pushing teams to land impact with high leverage and hold leaders to account.

Drive flagship programs directly:
Data & compute infrastructure, model-development workflow and tooling, training technology, compute management, and embedded / inference optimisation.

Establish scalable practices:
Planning cadences, governance, KPIs and dashboards, escalations and operational reviews.

Align cross-functionally:
Work with ML / research, infrastructure, embedded / on-vehicle, and engineering teams (and cloud / vendor partners); manage dependencies, risk, and trade-offs.

Connect to outcomes and represent AI Platform:
Tie delivery to developer velocity, compute efficiency and cost, and training / inference performance, and represent AI Platform in company-level reviews.

About youIn 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.

Essential8+ 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…