Vice President, AI Data

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

🛠️ About our Teams

At Wayve, we are building AI that learns to drive from experience.

We do not hand-code cars to drive. Our models learn from data gathered across the real world, making our ability to identify, understand and learn from the right data fundamental to everything we build.

Our Data organisation sits at the heart of this learning loop. It works across AI, Science, Validation, Product, Compute and our commercial programmes to determine what data Wayve needs, how we acquire and understand it, and how we turn it into measurable improvements in our AI Driver.

The scale and shape of the problem is unique. Our data comes from our own vehicles, OEM programmes, partners and external sources, spanning different vehicles, sensors, markets and driving environments. Within that corpus, the most valuable examples are often the hardest to find: rare behaviours, unusual interactions, safety-critical events and the long tail of real-world driving.

We are looking for a VP of Data to lead this organisation and own the data strategy behind Wayve’s autonomous driving technology.

🧠 Your day-to-day

As VP of Data, you will have end-to-end ownership of how Wayve uses data to improve our AI.

You will set the strategy across the complete AI learning cycle, determining what data we need and how it should drive model performance, from foundation model training through specialised driving capabilities and production programmes.

You will lead a multidisciplinary Data organisation and work closely with senior leaders across Engineering, AI, Science, Validation, Product, Compute, Finance and Commercial teams.

This is not simply about building systems that process data. You will be responsible for deciding what data matters and why, making significant technical and investment decisions, and building the strategy, organisation and learning loop that enables Wayve to learn from the real world faster.


🧩 What you’ll be working on:

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