Principal Product Manager

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