• Own the discovery and definition of customer requirements for AI infrastructure use cases, including training, inference, GPU clusters, bare metal, managed orchestration, networking, and storage
• Work directly with strategic customers to understand their technical needs, deployment timelines, workload patterns, and success criteria
• Translate customer requirements into clear product requirements, technical specifications, and engineering priorities
• Partner closely with engineering, infrastructure, networking, storage, and operations teams to deliver customer-ready solutions
• Drive alignment across customer needs, product roadmap, architecture decisions, and delivery execution
• Understand and define requirements across GPU compute, CPU, memory, local and shared storage, high-performance networking, cluster topology, and orchestration layers such as Kubernetes and Slurm
• Support customer conversations around infrastructure design, capacity planning, performance expectations, operational readiness, and acceptance criteria
• Help define product capabilities that can scale beyond a single customer into repeatable AI infrastructure offerings