Technical Product Manager (Robotaxi)

Join Wayve, a leading company in the autonomous driving industry. As a Technical Product Manager for Robotaxi, you will drive the definition, development, and delivery of our L4 autonomous driving solutions. You will work cross-functionally with various teams, shape a scalable product strategy, and take full ownership of AV feature development. Enjoy benefits such as private healthcare, paid time off, mental health resources, competitive compensation, and learning and development opportunities.

• Driving the definition, development, and delivery of Level 4 autonomous driving solutions, aligning with OEMs and operational partners.
• Working cross-functionally with R&D, safety, validation, and commercial teams to shape a scalable, reliable, user-centric AV product strategy.
• Taking full end-to-end ownership of AV feature development, from concept definition through implementation, validation, and deployment in production.

• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field
• Proven track record of technical product management experience, shipping products with a consumer mindset in a very technical domain
• Comfortable working in fast-paced, iterative environments with evolving priorities
• Strong written and verbal communication skills with demonstrated ability to work in cross-functional teams
• Strong technical background in AI/ML, software engineering, robotics, or a related discipline
• Experience owning end-to-end delivery of AV features, including collaboration with engineering, systems, safety, and validation teams
• We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply
• Analytical, data driven
• Understanding of human-machine interaction (HMI), UX, or the broader robotaxi product
• Knowledge of generative AI techniques, LLMs, or Software 2.0 methods as applied to autonomous driving or large-scale simulation