# Principal Product Manager

**Company**: Hewlett Packard Enterprise
**Location**: Spring, Texas
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $165,500 - $313,500
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Spring-Texas-United-States-of-America/Principal-Product-Manager_1201999-3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1ad59900-4c3

## Description

Hewlett Packard Enterprise is seeking a Principal Product Manager to own a major slice of the Private Cloud AI platform end-to-end, from GPU compute and AI fabric to the AI software stack developers use every day.

The successful candidate will set strategy, win trade-offs, and ship capabilities that make Private Cloud AI the obvious choice over public cloud and neo-cloud alternatives.

Responsibilities:

- Own strategy and roadmap for Private Cloud AI area across GPU compute, AI networking, and AI software stack

- Define the platform across layers: GPU and accelerator configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling, and curated AI tools

- Drive features that raise utilization and time-to-value, such as GPU sharing, fair-share quotas, gang scheduling, and multi-tenant isolation

- Lead the agentic AI roadmap: bring secure agent runtimes, model serving, and developer frameworks into the platform

- Partner with NVIDIA and the open-source ecosystem to co-define integrations, validated designs, and release timing

- Work directly with enterprise, sovereign, and service-provider buyers to turn their workloads into crisp requirements and PRDs

- Drive launches end-to-end with engineering, solutions, marketing, and sales, and track results with data after GA

Requirements:

- 10+ years of product management, engineering, or architecture experience, including 5+ years owning AI/ML, HPC, or cloud infrastructure products

- Hands-on depth in AI compute infrastructure: NVIDIA GPU platforms, server and rack architecture, power and cooling trade-offs, and sizing for training, fine-tuning, and inference

- Hands-on depth in AI networking: RDMA, RoCE and InfiniBand, Ethernet AI fabrics, DPUs/SuperNICs, and fabric design

- Working knowledge of Kubernetes and cloud-native operations, and of how GPU workloads are scheduled and isolated in multi-tenant clusters

- Track record of shipping complex hardware-plus-software solutions to enterprise customers

- Strong written and verbal communication; credible with engineers, executives, and customers alike

- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience

Preferred qualifications:

- AI frameworks and MLOps: LangChain, LangFlow, MLflow, Ray, and SGLang

- GPU scheduling: NVIDIA KAI Scheduler or similar Kubernetes-native schedulers

- Agent runtimes and harnesses: NVIDIA OpenShell and NemoClaw, OpenClaw, and Hermes

- NVIDIA AI Enterprise: NIM microservices, NeMo, Triton/Dynamo, and NVIDIA AI Blueprints

- Experience with private, sovereign, or regulated-industry AI deployments, or with hybrid cloud platforms such as HPE GreenLake

Benefits:

- Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing

- Investment in career development and growth

- Unconditional inclusion and celebration of individual uniqueness

Salary: $165,500 - $313,500 (USD) per year in Colorado, $178,000 - $339,000 (USD) per year in Massachusetts, $157,000 - $361,000 (USD) per year in Texas

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## Skills

### Required
- NVIDIA GPU platforms
- AI compute infrastructure
- AI networking
- Kubernetes
- cloud-native operations

### Nice to have
- LangChain
- MLflow
- Ray
- SGLang
- NVIDIA KAI Scheduler

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Spring-Texas-United-States-of-America/Principal-Product-Manager_1201999-3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)