Product Manager, Compute NPI at Fluidstack - ScoutJobs - The AI-curated global job board
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Posted 8 hours ago

Product Manager, Compute NPI

FluidstackProduct Manager, Compute NPI

Requirements

5+ years product management experience, 3+ years in infrastructure or hardware platforms, Technical background in GPU architecture, Experience with NPI processes, Understanding of datacenter infrastructure

Skills

GPUProduct ManagementCloud

About the role

About the Company

Fluidstack is focused on delivering civilization-scale compute infrastructure for AI. The company acquires power, designs and builds data centers, and operates them, rethinking every layer of the stack to provide the hardware necessary for frontier AI models.

Responsibilities

  • Own the NPI roadmap for GPU SKUs, including evaluation criteria, qualification timelines, and go-to-market strategy
  • Partner with datacenter teams to define requirements for power delivery, cooling, rack architecture, and physical infrastructure
  • Work with infrastructure engineers to validate hardware performance across training throughput, inference latency, and interconnect topology
  • Drive vendor engagement with NVIDIA, AMD, and emerging XPU providers
  • Define product specifications for system configurations ranging from single-GPU instances to megacluster topologies
  • Build business cases for new SKU introductions, including CapEx, depreciation, and utilization forecasts
  • Monitor GPU availability, supply chain constraints, and allocation strategies
  • Collaborate with networking teams to ensure interconnect fabric scales with GPU performance

Requirements

  • 5+ years of product management experience
  • 3+ years focused on infrastructure, hardware platforms, or cloud compute services
  • Strong technical background in GPU architecture and AI workload requirements
  • Experience managing NPI processes from evaluation through production deployment
  • Deep understanding of datacenter infrastructure including power, thermal management, and rack design
  • Familiarity with GPU performance metrics such as TFLOPS, HBM bandwidth, and MFU
  • Experience conducting competitive analysis of cloud GPU offerings
  • Ability to navigate supply chain complexity and procurement timelines

Preferred Qualifications

  • Experience with networking topologies like fat tree or rail-optimized
  • Knowledge of storage systems such as NVMe or Ceph
  • Experience with HPC infrastructure design
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Product Manager, Compute NPI

Fluidstack · San Francisco

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