Process Excellence Manager at Wayve

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, TechnologyIndustries

Requirements

Lean Six Sigma Black Belt (or equivalent) certification
Proven track record of driving measurable improvement in operational performance
Systems-thinking mindset with hands-on operational experience
Rigorous, pragmatic, and action-oriented approach
Passion for making complex systems work better

Responsibilities

Lead end-to-end analysis and documentation of core Fleet Ops workflows; define AS-IS processes, identify gaps, and establish TO-BE standards using BPMN or equivalent notation
Drive structured improvement projects using Lean, Six Sigma, or equivalent methodologies (DMAIC, Kaizen, etc.) to improve efficiency, quality, and throughput
Work with regional teams and functional stakeholders to standardise operations, eliminate non-value-adding activities, and improve reliability of critical processes
Define and implement SLAs, SOPs, escalation procedures, and RACI/decision matrices across key workflows
Introduce KPIs, dashboards, and other visual tools to track process performance and drive accountability; use data analytics and SQL to monitor process performance, identify bottlenecks, and quantify improvements
Partner with software, data, and infrastructure teams to scope and support automation of repetitive or high-volume tasks
Serve as a strategic partner to Ops leadership, applying structured problem-solving to key growth and scalability challenges
Champion continuous improvement across Fleet Ops; coach teams on best practices in process design and operational excellence

Skills

Lean Six Sigma

Black Belt

Process Improvement

Operational Excellence

Systems Design

Fleet Operations

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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