wayve - Vice President, AI Data

• 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: • Owning Wayve’s data strategy: Set the strategy across the complete AI learning cycle and determine where data can have the greatest impact on model capability and performance. • Building the data flywheel: Own the learning loop from real-world signals and model behaviour through data discovery, curation and enrichment into training, evaluation, deployment and measurement. • Finding the data that matters: Develop intelligent approaches to discovering rare, surprising and safety-critical scenarios within extremely large datasets, using techniques such as embeddings, semantic search, learned representations and model-driven data selection. • Leading data acquisition and enrichment: Define how Wayve collects, buys, generates and enriches data across our own fleet, OEM programmes, partners and external sources, balancing coverage, quality, speed and economics. • Connecting data investment to model performance: Establish how we measure the value of data and make rigorous trade-offs across quality, accuracy, speed, cost and scale, ensuring investment is focused where it creates the greatest impact. • Scaling our data strategy globally: Build an approach that supports multiple OEMs, vehicle platforms, sensor configurations, geographies and regulatory environments while maintaining a scalable global architecture. • Building and leading the organisation: Develop a high-performing, multidisciplinary Data organisation capable of operating across Wayve’s research, engineering and commercial programmes. • 🙌 You should apply if: • You are a senior engineering or technical leader with significant experience building and leading high-performing technical organisations. • You have operated at the intersection of AI, data and large-scale model development, with data capabilities that directly influence model training, evaluation and performance. • You have deep technical expertise in areas such as computer vision, video, multimodal AI, perception or related large-scale ML problems. • You have strong intuition for what makes data valuable and experience with data discovery, selection, curation and enrichment at scale. • You can move comfortably between strategy and technical detail, from defining an organisation-wide data strategy to going deep on a dataset, model behaviour or learning loop. • You have strong technical and commercial judgement and have made meaningful trade-offs across quality, speed, cost, scale and build-versus-partner decisions. • You are comfortable setting direction in ambiguity and influencing senior technical and business stakeholders across organisational boundaries. • Experience in autonomous driving, robotics or embodied AI would be particularly valuable, as would experience with large-scale video or multimodal foundation model training, semantic search, embeddings, active learning, auto-labelling, or large-scale real-world data acquisition. • 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to make an impact, we encourage you to apply even if you don’t meet every requirement.