Lead Technical Program Manager, Data

• Join Wayve’s Program Management team as Lead Technical Program Manager for Data, working hybrid from London. • Build and lead the TPM function supporting Wayve’s Data organisation. • Make the data that powers Wayve’s driving models immediately and reliably usable. • Combine hands-on ownership of flagship data programmes with coaching a small, high-impact TPM team. • Act as a trusted delivery partner to Data and Engineering leadership. • Bring structure and clarity to ambiguous challenges without slowing delivery.

• Bring 8+ years of hands-on experience delivering data programmes as a technical programme manager. • Show experience across data platforms, pipelines, enrichment, curation or labelling. • Show experience building or scaling a programme function and leading people and processes. • Build, coach and grow high-performing teams, and hire to strengthen them. • Understand large-scale distributed data infrastructure, including platforms operating at petabyte scale. • Understand data ingestion through multi-stage pipelines, including DAGs and their challenges. • Understand machine learning, GPUs, and training and inference for models from 500M to 20B parameters. • Work with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker and Python. • Use AI agents such as Cursor, Claude or Codex to accelerate execution. • Influence data, ML and engineering teams without relying on formal authority. • Connect data investment to measurable outcomes such as quality, throughput and cost.

• Bring experience with large-scale distributed data platforms used by hundreds of engineers and researchers. • Show experience in autonomous vehicles, robotics or other large-scale data and ML programmes. • Hold an engineering or computer science degree, or bring experience working as an engineer. • Use modern delivery tools such as Jira fluently.

• Build and scale the TPM function for the Data organisation, hiring to fill capability gaps. • Own planning, prioritisation and execution across the data roadmap with Data leadership. • Lead flagship programmes across the data platform, ingestion pipelines, enrichment, labelling and dataset quality. • Establish planning cadences, governance, escalation paths and operational practices that scale. • Manage dependencies, surface risks and remove blockers across data, ML, engineering and external annotation suppliers. • Use KPIs, dashboards and operational reviews to spot bottlenecks and steer decisions. • Drive measurable gains in data quality, throughput, cost and time-to-insight. • Represent the Data organisation in company-level reviews and connect delivery to business impact.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Earn a salary benchmarked against the market every year. • Work hybrid with core hours and hands-on time in vehicle workshops and labs. • Use a learning and development budget for training and conferences. • Receive health and dental insurance, a pension and access to therapists. • Enjoy enhanced maternity and paternity leave, wellbeing partnerships and team socials.

Wayve is building an AI platform for autonomous driving, using an end-to-end approach where vehicles learn directly from real-world experience instead of hand-coded rules or pre-mapped environments. Its mapless, hardware-agnostic AI Driver integrates with global OEM partners and supports automation from L2+ through to L4. Founded in 2017 and headquartered in London, Wayve also has hubs in Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg.