Commercial Strategy Manager

Wayve Wayve · Robotics · London, United Kingdom · Commercial & Operations

Commercial Strategy Manager to own strategic partnerships (cloud compute) and initiatives, guiding strategy and delivering impact across technology and infrastructure partnerships. The role will focus on driving Wayve’s compute strategy and managing cloud and infrastructure partnerships as they scale next-generation embodied AI models. This involves sitting at the intersection of technical planning and commercial execution to secure capabilities, reliability, and economics for L4 autonomy. Responsibilities include owning relationships with hyperscalers, GPU providers, and infrastructure vendors, optimizing cost structure, building analytical foundations for infrastructure strategy, evaluating partners, conducting market analysis, and preparing leaders for external engagements.

What you'd actually do

  1. Lead Wayve’s compute strategy commercially, partnering with engineering and finance to translate technical needs into clear commercial and infrastructure plans, across training, storage, and inference.
  2. Own day-to-day relationships with hyperscalers and infrastructure vendors, ensuring strong alignment, operational reliability, and forward visibility into roadmaps.
  3. Drive commercial negotiations across pricing, commitments, discount structures, and capacity planning to secure scalable, cost-efficient infrastructure.
  4. Build and maintain forecasting models that balance product milestones, engineering demand, financial constraints, and vendor capabilities.
  5. Monitor GPU utilisation, storage growth, and cloud spend to generate insights that guide decision-making and improve ROI.

Skills

Required

  • Commercial strategy
  • Partnership management
  • Cloud infrastructure
  • Negotiation
  • Financial modeling
  • Market analysis
  • Cross-functional collaboration

Nice to have

  • Embodied AI
  • AV/ADAS/AI landscape

What the JD emphasized

  • critical strategic partnerships
  • critical cloud and infrastructure partnerships
  • next-generation embodied AI models
  • L4 autonomy
  • commercial operator
  • multi-year infrastructure strategy
  • high-impact, ambiguous workstreams
  • structured thinking
  • analytical depth
  • commercial and technical trade-offs
  • strategic decisions
  • high-stakes partner discussions