Senior Product Lifecycle Manager
Wayve · London, United Kingdom
Roboticsremotesenior
At a glance
Highlights
- Build embodied intelligence that moves real vehicles safely.
- Own integrated lifecycle plans for Level 2 and Level 4 milestones.
- Coordinate delivery across engineering, product, safety and validation.
What they offer
- Salaries benchmarked against the market annually
- Hybrid working with core hours and hands-on work in vehicle workshops and labs
- Learning and development budgets for training, conferences and growth
- Comprehensive benefits including health, dental, parental leave, pension, wellbeing support and team socials
Ideal candidate
Systems-thinking program leader with automotive background who thrives in ambiguity. Decisive, product-minded and outcome-focused, you connect delivery to customer value and enjoy owning complex delivery in a fast-evolving environment.
Requirements
- 5+ years leading complex, multi-team technical or product programmes across several engineering teams
- Background in automotive or autonomous vehicles with integrated vehicle and software delivery
- Technical depth to evaluate system architectures and challenge delivery plans constructively
- Systems thinker who understands downstream impacts of dependencies and changes
- Decisive under uncertainty with sound prioritisation and trade-off judgement
- Proven record identifying and resolving delivery, technical and dependency risks early
- Uses metrics, technical evidence and backlog health to guide readiness decisions
- Product-minded and outcome-focused, linking delivery to customer value and business impact
- remote policy
- Hybrid working with core hours
- hiring process
- Includes mission and values alignment interview (45 minutes); format explained and scheduled around availability
Lab profile
About Wayve
London-based AI lab building embodied driving intelligence for autonomous vehicles.
What they build
- Wayve Driver embodied AI driving software
- GAIA generative world models for driving
- LINGO language-grounded driving AI
Known for
- End-to-end embodied AI for driving
- Camera-first, mapless autonomy approach
- Large-scale real-world learning and simulation
Key facts
- Founded in 2017
- Headquartered in London, UK
- Backed by SoftBank Group, NVIDIA and Microsoft
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