Overview
In this role you will own the product direction for Level 4 autonomous driving features, aligning strategy with customer needs and regulatory context. You’ll work with R&D, design, and partners to deliver safe, user-centered experiences. You’ll translate research into scalable, market-ready capabilities and shape how users interact with embodied AI. This is a high-impact role in a fast-paced, mission-driven company redefining mobility through AI.
Pay / Benefits
- hybrid working
- learning and development budgets
- health insurance
- dental coverage
- enhanced maternity and paternity leave
- pension/retirement benefits
Responsibilities
- Champion customer needs and keep user experience central to product decisions
- Collaborate with R&D, design, system architecture, software, safety, validation, and commercial teams to align priorities
- Support verification and validation activities against product requirements
- Lead internal reviews and external engagements with OEMs and partners on product direction
- Stay informed on autonomous driving trends, regulations, and competitors to guide decisions
- Define and own the product roadmap for Level 4 features
- Take end-to-end ownership of key initiatives from concept to deployment
- Translate AV2.0 embodied AI and end-to-end learning into scalable, reliable features
- Shape human–machine interaction and user-centric autonomous driving experiences
Key requirements
- Proven track record in technical product management for a highly technical domain
- Strong technical background in AI/ML, software engineering, robotics or related field
- Clear written and verbal communication across cross-functional teams
- Comfortable in fast-paced, iterative environments with evolving priorities
- Bachelor (or Master) in Engineering, Computer Science or related field
- Ideally end-to-end delivery experience of autonomous driving features with engineering, systems, safety and validation partners
- Knowledge of human–machine interaction (HMI), UX or robotaxi product is valuable
- Knowledge of generative AI, large language models (LLMs) or Software 2.0 approaches is a plus
- Analytical, data-driven approach to product decisions
- strong written and oral communication
- cross-functional collaboration
- customer mindset
- AI/ML
- software engineering
- robotics
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