Senior AI Platform PM – Private Cloud

Hewlett Packard Enterprise; Andover (MA); On-site; USD 178,000 - 339,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Principal Product Manager to own a major slice of the Private Cloud AI platform, spanning GPU compute to AI software. You’ll set strategy, balance trade-offs, and ship capabilities that differentiate the product from public and neocloud options.

You will partner with NVIDIA and open-source ecosystems, align with enterprise buyers, and lead end-to-end launches with engineering, solutions, marketing, and sales to drive adoption and revenue.

Qualifications

• 10+ years in product management, engineering, or architecture with AI/ML or cloud infra focus.
• Hands-on AI compute infra experience with NVIDIA GPUs and scaling considerations.
• Knowledge of Kubernetes and multi-tenant GPU workloads in cloud environments.
• Proven track record shipping complex hardware-software enterprise solutions.

Responsibilities

• Own strategy and roadmap for Private Cloud AI area across GPU compute and AI stack.
• Define platform across layers: GPUs, fabrics, storage, Kubernetes, and AI tools.
• Drive utilization and time-to-value features like multi-tenant isolation and scheduling.
• Lead agent runtimes and model serving capabilities for enterprise readiness.
• Collaborate with NVIDIA and open-source ecosystem on integrations and timing.
• Capture customer needs and turn them into PRDs; drive end-to-end launches.

Skills

AI/ML ownership

Kubernetes knowledge

Cloud infrastructure

Strong communication

Education

Bachelor's degree in CS/Engineering

Tools

NVIDIA GPUs

Spectrum-X / InfiniBand

Job description

Hewlett Packard Enterprise is seeking a Principal Product Manager to own a major slice of the Private Cloud AI platform, spanning GPU compute to AI software. You’ll set strategy, balance trade-offs, and ship capabilities that differentiate the product from public and neocloud options.

You will partner with NVIDIA and open-source ecosystems, align with enterprise buyers, and lead end-to-end launches with engineering, solutions, marketing, and sales to drive adoption and revenue.