Senior Technical Program Manager - AV Engineering

Wayve's Program Management team turns complex technical goals into coordinated delivery. As a Technical Program Manager in AV Engineering, you will lead the programmes that get Wayve's AI Driver working on real vehicles, working closely with engineering, research, product, safety, evaluation and release teams to align priorities, manage dependencies and bring clarity to ambiguous challenges.

Responsibilities

Partner with engineering and product leads to translate ambitious technical goals into clear, integrated plans, priorities and delivery milestones; Coordinate across software, hardware, robotics, machine learning, data, product, evaluation and release teams; Identify cross-stack dependencies, technical risks and sequencing constraints early and drive mitigation plans and timely decisions; Run the planning, stand-ups, programme reviews and retrospectives needed to keep complex, multi-team delivery predictable; Communicate progress, risks, trade-offs and decisions clearly to engineers, partners and senior leaders; Work closely with technical teams during critical vehicle-platform, customer-programme and feature milestones; Own AV Engineering programmes end-to-end, from vehicle-platform bring-up and autonomy-stack integration through to perception, parking, ADAS and driving-feature delivery; Support vehicle generalisation, controls and calibration programmes; Lead feature programmes from research through implementation, evaluation, release and on-vehicle deployment; Connect technical delivery with evaluation results and product outcomes using metrics such as signal quality, coverage and time-to-insight; Support key customer and platform programmes by coordinating scope, readiness, dependencies and delivery across internal teams and external partners; Improve programme tooling, delivery processes and ways of working

Requirements

5+ years of experience leading complex, multi-team software, robotics or technology programmes, or a strong track record operating at this level; Technically strong and able to work credibly with engineers across software, hardware, machine learning and data; Strong programme-management skills, including planning, prioritisation and managing complex risks, dependencies and trade-offs across teams; Thinks in systems and understands how changes in one part of the autonomy stack, vehicle platform or delivery plan affect other teams and downstream outcomes; Stays objective and adaptable in ambiguous, fast-moving and safety-critical environments; Communicates clearly, listens carefully and influences effectively without relying on formal authority; Comfortable defining and using technical and delivery metrics to understand progress, surface gaps and steer programme decisions; Product-minded, prioritising by impact and defining what good looks like; Open to feedback and continuously looks for ways to improve

Nice to have

Experience in robotics, automotive systems, perception, ADAS, vehicle platforms or hardware-software integration; Exposure to machine learning, autonomy or other compute-heavy or safety-critical domains; An engineering or computer science degree, or previous experience working as an engineer

Benefits

Salaries benchmarked against the market annually; Meaningful equity; Relocation support and visa sponsorship where applicable; Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs; Learning and development budgets with support for training, conferences and growth; Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more