# Product Manager, Compute NPI

**Company:** [Fluidstack](https://hotfix.jobs/companies/fluidstack)
**Location:** San Francisco, CA, California
**Role:** Product Management
**Salary:** $180k – $250k/yr
**Experience:** 5+ years
**Skills:** GPU, Nvidia Blackwell, Nvidia Rubin, Amd Mi300X, Nvlink, InfiniBand, Roce, Nvme, Ceph, H100, L40S, B200, Hpc, AWS, GCP
**Posted:** 2026-03-03

> Leads new product introduction for GPU infrastructure, defining evaluation, qualification, and go-to-market for next-gen accelerators like NVIDIA Blackwell and AMD MI300X. Requires 5+ years PM experience with deep GPU/datacenter expertise and vendor management.

## Job Description

## Responsibilities
- Own the NPI roadmap for GPU SKUs, including evaluation criteria, qualification timelines, and go-to-market strategy for new hardware generations
- Partner with datacenter teams to define requirements for power delivery (HVDC/LVDC), cooling (liquid vs. air), rack architecture, and physical infrastructure needed for next-gen GPUs
- Work with infrastructure engineers to validate hardware performance across key dimensions: training throughput (MFU), inference latency (TTFT, TBT), memory bandwidth, interconnect topology (NVLink, InfiniBand)
- Drive vendor engagement with NVIDIA, AMD, and emerging XPU providers—conducting technical deep dives, negotiating supply agreements, and managing early access programs
- Define product specifications for system configurations: single-GPU instances, multi-GPU nodes, full rack deployments, and megacluster topologies
- Analyze customer workload profiles to determine optimal GPU mix: H100 for large model training, L40S for inference, B200 for frontier research, MI300X for cost-sensitive workloads
- Build business cases for new SKU introductions, including CapEx requirements, depreciation models, utilization forecasts, and competitive pricing analysis
- Create technical documentation and benchmarking reports that help customers select the right GPU for their use case
- Monitor GPU availability, supply chain constraints, and allocation strategies to ensure Fluidstack can meet customer demand while maintaining healthy margins
- Collaborate with networking teams to ensure interconnect fabric (RoCE, InfiniBand) scales with GPU performance and supports distributed training patterns

## Requirements
- 5+ years product management experience with at least 3 years focused on infrastructure, hardware platforms, or cloud compute services
- Strong technical background in GPU architecture, accelerator performance characteristics, and AI workload requirements
- Experience managing NPI processes from evaluation through production deployment—including vendor relationships, qualification testing, and rollout planning
- Deep understanding of datacenter infrastructure: power distribution, thermal management, rack design, and high-density deployment constraints
- Track record of making build vs. buy decisions on hardware platforms based on TCO analysis, competitive positioning, and customer demand signals
- Familiarity with GPU performance metrics (TFLOPS, HBM bandwidth, TDP, MFU) and how they translate to real-world training and inference performance
- Ability to work with engineering teams to debug hardware issues, analyze telemetry data, and identify root causes of performance degradation
- Experience conducting competitive analysis of cloud GPU offerings from AWS, GCP, Azure, CoreWeave, Lambda Labs, and other specialized providers
- Comfortable navigating supply chain complexity, allocation negotiations, and procurement timelines with hardware vendors

## Nice-to-Haves
- Experience with networking topologies (fat tree, rail-optimized), storage systems (NVMe, Ceph), or HPC infrastructure design

## Compensation
Cash compensation range: $150,000-$250,000 (base salary, equity, benefits; final offers vary based on geography, experience, credentials, and other factors)

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