Principal PM — Private Cloud AI Platform (Hybrid)

HITEC

Spring (TX)

Hybrid

USD 166,000 - 314,000

Full time

6 days ago
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Job summary

Hewlett Packard Enterprise seeks a Principal Product Manager to own a major Private Cloud AI platform slice, from GPU compute to the software stack used by developers. You will set strategy, resolve hard trade-offs, and ship capabilities that distinguish Private Cloud AI from public options.

Lead end-to-end launches with engineering, marketing, and sales, and align with enterprise buyers to turn workloads into crisp requirements and PRDs.

Qualifications

  • 10+ years in product management, engineering, or architecture.
  • 5+ years owning AI/ML, HPC, or cloud infra products.
  • Hands-on depth in AI compute infrastructure and NVIDIA GPU platforms.
  • Kubernetes and cloud-native operations experience.
  • Strong written and verbal communication with engineers and execs.
  • Bachelor's degree in CS, Engineering, or related field.

Responsibilities

  • Own strategy and roadmap for Private Cloud AI area across GPU compute and AI tooling.
  • Define platform across layers: GPU configs, fabrics, storage, Kubernetes, and AI tools.
  • Drive GPU utilization features like multi-tenant isolation and fair-share quotas.
  • Lead agent runtimes, model serving, and developer frameworks integration.
  • Partner with NVIDIA and open-source ecosystems on integrations and designs.
  • Capture customer needs and translate to PRDs and requirements.

Skills

AI/ML product
HPC
Cloud infrastructure
Kubernetes
Cross-functional leadership

Education

Bachelor's degree in Computer Science or Engineering

Tools

NVIDIA GPUs
Kubernetes

Job description

Hewlett Packard Enterprise seeks a Principal Product Manager to own a major Private Cloud AI platform slice, from GPU compute to the software stack used by developers. You will set strategy, resolve hard trade-offs, and ship capabilities that distinguish Private Cloud AI from public options.

Lead end-to-end launches with engineering, marketing, and sales, and align with enterprise buyers to turn workloads into crisp requirements and PRDs.

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