Senior Technical Product Manager AI Infrastructure

Engineer

Senior Technical Product Manager AI Infrastructure

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  • Date posted
    August 4, 2026
  • Expiration date
    November 4, 2026
  • Application ends
    November 4, 2026

Our Client is seeking a Senior Technical Product Manager AI Infrastructure.

Responsibilities:

  • 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

Requirements
  • Bachelor’s degree in Computer Science, Engineering, or related technical field; Advanced

degree preferred

  • 5+ years of experience in technical product management, with focus on infrastructure,

cloud computing, or AI/ML platforms

  • Deep technical understanding of GPU compute, high-performance networking (InfiniBand, RoCE), distributed storage, and cluster orchestration (Kubernetes, Slurm)
  • Experience working directly with enterprise customers to define infrastructure requirements and translate them into product specifications
  • Strong understanding of AI/ML workloads including training, fine-tuning, and inference at scale
  • Proven ability to collaborate with engineering teams to deliver complex infrastructure products
  • Excellent written and verbal communication skills, with the ability to engage both technical and executive audiences
  • Experience with bare metal infrastructure and managed cloud services
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