Technical Product Manager - Robotaxi

• Drive the definition, development, and delivery of Wayve's L4 autonomous driving solutions. • Own key product initiatives from concept through deployment, aligning Wayve's AV2.0-based approach with OEMs, operational partners, and various other stakeholders. • Translate cutting-edge technical innovation in embodied AI and end-to-end learning into market-ready features and capabilities.

• Have a proven track record of technical product management experience, shipping products with a consumer mindset in a very technical domain. • Have strong written and verbal communication skills with demonstrated ability to work in cross-functional teams. • Have a strong technical background in AI/ML, software engineering, robotics, or a related discipline. • Be comfortable working in fast-paced, iterative environments with evolving priorities. • Hold a Bachelor's or Master's degree in Engineering, Computer Science, or a related field.

• Have experience owning end-to-end delivery of AV features, including collaboration with engineering, systems, safety, and validation teams. • Have understanding of human-machine interaction, UX, or the broader robotaxi product. • Have knowledge of generative AI techniques, LLMs, or Software 2.0 methods as applied to autonomous driving or large-scale simulation. • Be analytical and data driven.

• Define and own the product roadmap for Level 4 autonomous driving features, aligning with company strategy, customer needs, and regulatory frameworks. • Work closely with design, system architects, software developers, validation teams, and safety experts to ensure delivery of safe and delightful customer experiences. • Take full end-to-end ownership of AV feature development, from concept definition through implementation, validation, and deployment in production. • Stay current with global AV trends, regulatory developments, and competitors to take the best product decisions. • Support verification and validation activities. • Act as the product lead in internal reviews and external engagements.

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.

• Work in a hybrid model from Wayve's London office with core working hours so you can determine the schedule that works best for you and your team. • Join a well-funded company backed by leading investors, founded in 2017 and pushing the boundaries of embodied AI. • Work in an inclusive environment that values diversity and embraces new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Wayve's intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.