Full-Time
Head of Fleet Operations
US
Confirmed live in the last 24 hours
Wayve
201-500 employees
Develops autonomous vehicle technology using AI
Senior
Mountain View, CA, USA
Hybrid working policy requires in-office presence.
- Proven experience in operational management, preferably in automotive testing, fleet management, or a related field.
- Strong strategic thinking skills, with the ability to translate high-level strategies into practical operational plans.
- Excellent leadership and people management abilities, with experience in managing diverse teams.
- Demonstrated capability in resource planning and allocation, including fleet and personnel management.
- Outstanding communication and interpersonal skills, with the ability to effectively interact with various stakeholders.
- Ability to work in a dynamic, fast-paced environment, adapting quickly to changing priorities.
- A keen understanding of ADAS technology and on-road testing requirements is highly advantageous.
- Own the end-to-end process of deploying our on-road ADAS testing strategy in the US, converting strategic milestones into detailed tactical plans.
- As the in-country Head of Fleet Operations, help to develop and lead multiple functions, such as Fleet Operators, Operational Safety, Quality Assurance, Training and Fleet Maintenance.
- Responsible for delivering key testing outputs and on-road performance metrics, ensuring that goals are met efficiently and effectively.
- Optimise resource allocation by balancing fleet availability with team schedules, ensuring maximum productivity and operational efficiency.
- Directly oversee and allocate work to team members, ensuring clarity of roles and responsibilities within the team.
- Regularly evaluate and adjust operational plans to align with changing customer needs, technological advancements, and strategic key results.
- Serve as a key liaison between strategic planning teams and on-ground operational staff, ensuring seamless communication and alignment.
- Implement continuous improvement practices to enhance testing procedures, safety protocols, and overall team performance.
Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating smarter and safer autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai aims to enhance mobility by partnering with companies like Ocado Group and Asda to test their technology in real-world delivery scenarios.
Company Stage
Series C
Total Funding
$1.3B
Headquarters
London, United Kingdom
Founded
2017
6 month growth
↑ 38%1 year growth
↑ 59%2 year growth
↑ 115%
Simplify's Take
What believers are saying
- Wayve.ai's recent $1.05 billion funding round underscores strong investor confidence and provides substantial capital for further innovation and expansion.
- The launch of PRISM-1, a 4D reconstruction model, enhances the testing and training of their autonomous driving technology, potentially accelerating development timelines.
- Partnerships with major retailers and fleet operators offer significant opportunities for real-world testing and rapid deployment of their technology.
What critics are saying
- The autonomous vehicle sector is highly competitive, with major players like Tesla and Nvidia investing heavily in similar technologies, which could impact Wayve.ai's market share.
- The reliance on end-to-end deep learning and embodied AI, while innovative, may face challenges in regulatory approval and public acceptance.
What makes Wayve unique
- Wayve.ai's use of embodied AI software allows vehicles to learn and adapt from experience, eliminating the need for costly HD maps and human-engineered systems, unlike traditional autonomous vehicle technologies.
- Their end-to-end deep learning approach reduces the reliance on expensive robotic stacks, making their solution more cost-effective for automakers.
- Wayve.ai's partnerships with leading UK retailers like Ocado Group and Asda for trialing their technology in delivery fleets demonstrate their practical, real-world application and scalability.
Help us improve and share your feedback! Did you find this helpful?