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Lead Technical Program Manager, AI Platform

wayveLondon, United KingdomEngineering Operations and Programs
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Lead · 8+ yrs
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

Based in London, United Kingdom, this full-time role involves leading the technical program management function for an AI platform organization. This position suits an experienced program management leader with a strong background in machine learning infrastructure, compute systems, and team development.

Role Overview

Wayve seeks a Lead Technical Program Manager to build and lead the program management team supporting the AI Platform organization. The person in this role will turn complex technical goals into coordinated delivery, partnering closely with engineering, research, and product teams. The position focuses on data and compute infrastructure, model-development workflow tooling, training technology, and embedded and inference optimization.

Key Responsibilities

Build, coach, and support a small technical program management team to raise delivery standards.
Act as a trusted delivery partner to leadership by aligning priorities and managing dependencies.
Work across machine learning, research, infrastructure, and embedded engineering teams to remove blockers.
Use metrics, dashboards, and operational reviews to track progress and steer decisions.
Own planning, execution, and roadmap execution across the AI Platform organization.

Requirements

Bring eight or more years of hands-on technical program management experience in platform, infrastructure, compute, or ML infrastructure.
Demonstrated ability to build, coach, and grow high-performing teams.
Strong technical depth in machine learning infrastructure, compute, and embedded systems.
Experience with machine learning, GPUs, training and inference for models ranging from 500M to 20B+ parameters.
Familiarity with compute management, ML platform tooling, and experiment workflows.

Nice to Have

Experience working with a large-scale ML or compute platform used by hundreds of engineers and researchers.
Background in embedded or edge inference, on-device model optimization, autonomous vehicles, or robotics.
An engineering or computer science degree, or past experience working as an engineer.

Skills and Tools

Kubernetes
Ray
Flyte
Docker
Azure
Python
Cursor
Claude
Codex

About the Company

Wayve builds embodied intelligence to move real vehicles safely and creates a platform for future machine ecosystems. The company pioneers an end-to-end artificial intelligence approach that enables vehicles to learn directly from real-world experience. Wayve operates a hybrid working model with main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is this role located?

This role is based in London, United Kingdom, with the company operating a hybrid working model.

How many years of experience are required?

Candidates must bring 8+ years of hands-on technical programme management experience.

What technical domains are relevant to this position?

Relevant technical domains include platform, infrastructure, compute, machine learning infrastructure, developer tooling, training, and inference systems.

What specific technologies should candidates be familiar with?

Familiarity with technologies such as Kubernetes, Ray, Flyte, Docker, Azure, Python, Cursor, Claude, and Codex is useful.

Is a computer science degree mandatory?

An engineering or computer science degree is noted as a plus rather than a strict requirement.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site