Commercial & Fleet Ops, Manager (Japan) at Wayve

Japan

Wayve Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, AI, Autonomous VehiclesIndustries

Requirements

  • Strong sense of ownership with a proactive approach to leading projects from ideation to delivery, ensuring outcomes are achieved effectively
  • Action-oriented mindset with a focus on driving meaningful impact through effective stakeholder engagement
  • Resilience in the face of ambiguity and adversity, maintaining optimism and proactively addressing challenges

Responsibilities

  • Ensure Operational Excellence with Local Partners: Partner with Ops team to work closely with Wayve’s local operations partners to support day-to-day execution, ensuring services are delivered to the required quality and safety standards
  • Support Data Collection and Partnerships: Collaborate with the data partnerships team to facilitate the rollout of data collection activities in Japan. Engage with local data providers to establish and maintain strong working relationships that align with Wayve’s technical and commercial goals
  • Provide AV & Remote Operations Support: Contribute to the daily operation of local and remote AV operation in Japan. Provide hands-on assistance to ensure safe and reliable performance in the field
  • Act as the Local Point of Contact (POC) for Policy Engagement: Serve as the primary liaison with local authorities and stakeholders, including import agents, police departments, and other local contacts to support compliance, permissions, and regulatory alignment
  • Provide Onsite & Facility Operations Support: Assist Office Manager in preparing and maintaining local facilities and sites, including setup for workshops, vehicle charging infrastructure, and network connectivity for testing and operational needs
  • Act as the Language and Cultural Bridging: Facilitate smooth communication between local Japanese stakeholders and Wayve’s global team and partners. Provide translation (written and verbal) and cultural context to support clear understanding and effective collaboration

Skills

Operations Management
Fleet Operations
Commercial Operations
Partner Management
Cross-functional Collaboration

Wayve

Develops autonomous vehicle technology using AI

About Wayve

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to 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 has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

London, United KingdomHeadquarters
2017Year Founded
$1,272.3MTotal Funding
SERIES_CCompany Stage
Automotive & Transportation, AI & Machine LearningIndustries
201-500Employees

Benefits

Hybrid Work Options

Risks

Increased competition in San Francisco could dilute Wayve's market presence.
Regulatory challenges may delay the deployment of Wayve's technology with Uber.
Wayve's reliance on AI systems may face skepticism from traditional automakers.

Differentiation

Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.
Its AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.
Wayve's end-to-end deep learning approach offers a cost-effective solution for automakers.

Upsides

Wayve's partnership with Uber expands its market reach and data collection opportunities.
The expansion into the U.S. market taps into a larger talent pool and partnerships.
Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

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