Principal Product Manager

Principal Product Manager

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

About the role

HPE Private Cloud AI is the turnkey, NVIDIA co-engineered private AI cloud that lets enterprises run inference, RAG, fine-tuning, and agentic AI on their own infrastructure, delivered as a cloud experience through HPE GreenLake. We are hiring a Principal Product Manager to own a major slice of the platform end to end, from GPU compute and AI fabric to the AI software stack developers use every day.

You will set strategy, win the hard trade-offs, and ship the capabilities that make Private Cloud AI the obvious choice over public cloud and neocloud alternatives.

What you'll do

• Own strategy and roadmap for your Private Cloud AI area across GPU compute, AI networking, and the AI software stack, tied to clear revenue, adoption, and utilization goals.
• Define the platform across layers: GPU and accelerator configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling, and the curated AI tools customers deploy on day one.
• Make GPUs pay off: drive the 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 as supported, enterprise-ready experiences.
• Partner deeply with NVIDIA and the open-source ecosystem to co-define integrations, validated designs, and release timing.
• Be the voice of the customer: 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.

Required qualifications

• 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 (e.g., H100/H200, Blackwell), 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 (e.g., NVIDIA Spectrum-X), DPUs/SuperNICs, and how fabric design affects job performance.
• 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, from requirements through launch and adoption.
• 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, plus related serving engines such as vLLM.
• GPU scheduling: NVIDIA KAI Scheduler or similar Kubernetes-native schedulers (Run:ai, Kueue, Volcano, Slurm).
• Agent runtimes and harnesses: NVIDIA OpenShell and NemoClaw, OpenClaw, and Hermes, including sandboxing, policy, and inference routing for always-on agents.
• NVIDIA AI Enterprise: NIM microservices, NeMo, Triton/Dynamo, the GPU and Network Operators, and NVIDIA AI Blueprints.
• Experience with private, sovereign, or regulated-industry AI deployments, or with hybrid cloud platforms such as HPE GreenLake.
• Prior engineering, solutions architecture, or forward-deployed experience; MBA or advanced technical degree a plus.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here .

Note

This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

Let's Stay Connected

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Job:

Engineering Job Level:

TCP_05

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 178,000 - 339,000 in Massachusetts // 157,000 - 361,000 in Texas The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is March 31 2027; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

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Equal Employment Opportunity .

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

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