Lead Technical Program Manager, AI Platform
Wayve develops end-to-end deep learning for self-driving vehicles from its London base, backed by SoftBank, NVIDIA and Microsoft. They're hiring a Lead Technical Program Manager for AI Platform to drive delivery across the infrastructure behind Wayve's AI driver, on a hybrid basis in London. This program management role sits within the UK's autonomous vehicle sector.
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 you
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.
Essential
- 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.
- 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.
Desirable
- 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.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
About Wayve
Wayve is a London-based autonomous driving company pioneering an AI-first approach to self-driving vehicles. Rather than relying on detailed 3D maps and hand-coded rules, Wayve uses end-to-end deep learning so its AI driver learns directly from camera data and real-world driving experience. The company has partnered with major automakers and logistics firms to bring its technology to production vehicles. Backed by SoftBank, NVIDIA, Microsoft, and Uber, Wayve closed a landmark $1.05B Series C in 2024, the largest ever AI funding round by a European company at the time, and has been in discussions for a potential $2B follow-on round.