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source · wttj·req · jb_1bfa643818·listed 4d ago
Technical Operations Lead
Wayve·London, United Kingdom·Hybrid·Full-time
Sourced listing · wttjNo salary disclosed
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Summary
the pitchJoin Wayve as a Technical Operations Lead, where you'll be the critical bridge between Science, Product, Engineering, and Operations. You'll lead testing, demonstration, and validation programs across global operations, ensuring structured feedback loops and customer-grade operational rigor. This role is central to Wayve's transformation into a world-class commercial AV company.
Role
posted by company- This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations in safety-critical, high-complexity systems
- Strong problem-solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities
- Demonstrable' experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high-complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility)
- Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations
- Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams
- Experience supporting or operating within customer/OEM partnership programs (e.g., automotive, robotics, or other regulated/safety-critical partners), including managing milestone delivery, stakeholder expectations, and on-site execution under real-world constraints
- Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution
- Ability to travel internationally up to 30% of the time to support on-site program coordination across testing regions
- Proven ability to influence across teams and functions, including remote and international stakeholders in fast-paced technology environments
- Strong facilitation and stakeholder management skills: able to lead cross-functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively
- Experience supporting scaling in global, distributed teams with complex technical dependencies
- Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements
- Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks
- Strong exposure to OEM partnership programs and customer delivery, including automotive testing/validation protocols, acceptance-style testing, demo readiness, and handling program escalations and fast-turn issue resolution
- Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols
- Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations
- Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems
- We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply
Key responsibilities
- Lead critical testing, demonstration, and validation programs across global operations, ensuring structured feedback loops between field operations and development teams.
- Convert high-level program plans into clear, actionable on-road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility.
- Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two-way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance.