Senior Technical Program Manager (AI Platform & ML Infrastructure)

wayve • United Kingdom

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AI Summary

Lead the technical program management function for Wayve’s AI Platform, scaling infrastructure, compute, and ML workflows to accelerate model development, deployment, and vehicle integration. Build high-performing teams, align cross-functional priorities, and drive measurable improvements in developer velocity, compute efficiency, and model performance. Requires 8+ years of hands-on TPM experience in ML infrastructure, compute, and embedded systems with a bias for action and systems thinking.

Key Highlights

Build and scale Wayve’s technical program management function for AI Platform, including hiring and team development

Own planning, prioritization, and execution of AI Platform roadmap (data/compute infrastructure, model workflows, inference optimization)

Drive measurable improvements in developer velocity, compute efficiency, cost, and model performance

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Key Responsibilities

Build, coach, and support a high-impact technical program management (TPM) team, raising standards for delivery

Act as a trusted delivery partner for AI Platform leadership, aligning priorities and holding teams accountable for impactful outcomes

Manage cross-functional dependencies across ML/research, infrastructure, embedded, and cloud teams to remove blockers and surface risks

Use KPIs, dashboards, and operational reviews to track progress, identify bottlenecks, and guide data-driven decisions

Represent AI Platform in company-level reviews, communicating progress, risks, and business impact clearly

Establish scalable planning cadences, governance, and operational practices without slowing delivery

Drive improvements in developer velocity, compute efficiency, cost, training/inference performance, and platform reliability

Technical Skills Required

Machine Learning Infrastructure Compute Management (GPUs, distributed systems) Embedded Systems & Inference Optimization

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Benefits & Perks

Market-benchmarked annual salaries

Meaningful equity with long-term ownership

Relocation support and visa sponsorship where applicable

Hybrid working with core hours and access to vehicle labs

Comprehensive benefits (health insurance, dental, parental leave, retirement, wellbeing partnerships)

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Nice to Have

Experience with large-scale ML platforms used by hundreds of engineers

Embedded/edge inference, on-device model optimization, or hardware-aware ML

Autonomous vehicles, robotics, or similar large-scale ML/infrastructure environments

Engineering or computer science degree (or equivalent experience)

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.

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