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Wayve is building an AI platform for autonomous driving using end-to-end learning and embodied AI. As Staff Technical Product Manager for Robotaxi, you will own the product strategy and roadmap for Level 4 autonomous driving features, working at the intersection of AI research, engineering, and customer needs.
Your responsibilities include:
- Champion customer needs and user experience in complex technical decisions, bringing a consumer mindset to autonomous driving product definition and prioritization.
- Work closely with R&D, design, system architects, software developers, safety, validation, and commercial teams to align priorities and resolve trade-offs.
- Support verification and validation activities, assessing features against product requirements and intended customer experience.
- Act as the product lead in internal reviews and external engagements with OEMs, operational partners, and stakeholders.
- Stay current with global autonomous driving trends, regulatory developments, and competitive landscape.
- Define and own the product roadmap for Level 4 features, aligning company strategy, customer needs, and regulatory frameworks.
- Take full end-to-end ownership of key product initiatives from concept through development, implementation, validation, and production deployment.
- Translate Wayve's embodied AI and end-to-end learning approach into scalable, market-ready features.
- Shape how people interact with embodied AI, making autonomous driving experiences user-centric.
Wayve operates a hybrid model with main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg. The company emphasizes real ownership and is still defining how it works—suited for people who want to shape the organization.
REQUIREMENTS:
- Proven track record in technical product management, shipping products with a consumer mindset in highly technical domains.
- Strong technical background in AI/ML, software engineering, robotics, or related discipline.
- Bachelor's or master's degree in engineering, computer science, or related field.
- Clear communication skills in writing and conversation; demonstrated ability to work effectively across cross-functional teams.
- Comfortable in fast-paced, iterative environments and able to adapt as priorities evolve.
- Ideally: end-to-end ownership of autonomous driving feature delivery, partnering with engineering, systems, safety, and validation teams.
- Valuable: understanding of human-machine interaction (HMI), user experience (UX), or robotaxi product; knowledge of generative AI, LLMs, or Software 2.0 methods applied to autonomous driving or large-scale simulation; analytical, data-driven approach to product decisions.
