Principal Product Manager
About The Position
Hewlett Packard Enterprise is hiring a Principal Product Manager for HPE Private Cloud AI, a turnkey, NVIDIA co-engineered private AI cloud delivered as a cloud experience through HPE GreenLake. The role owns a major part of the platform end to end, spanning GPU compute, AI networking, and the AI software stack. The product manager sets strategy, makes product trade-offs, and delivers capabilities that help Private Cloud AI compete with public cloud and neocloud alternatives. The position is hybrid, with an expectation to work an average of two days per week from an HPE office. The role partners with engineering, solutions, marketing, sales, NVIDIA, and the open-source ecosystem, and works directly with enterprise, sovereign, and service-provider customers.
Requirements
- 10 or more years of product management, engineering, or architecture experience, including 5 or more years owning AI/ML, HPC, or cloud infrastructure products.
- Hands-on expertise with AI compute infrastructure, including NVIDIA GPU platforms such as H100/H200 and Blackwell, server and rack architecture, power and cooling trade-offs, and sizing for training, fine-tuning, and inference.
- Hands-on expertise in AI networking, including RDMA, RoCE, InfiniBand, Ethernet AI fabrics such as NVIDIA Spectrum-X, DPUs/SuperNICs, and the effect of fabric design on job performance.
- Working knowledge of Kubernetes, cloud-native operations, and scheduling and isolating GPU workloads in multi-tenant clusters.
- Track record of shipping complex hardware-and-software solutions to enterprise customers from requirements through launch and adoption.
- Strong written and verbal communication skills, with credibility among engineers, executives, and customers.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
Nice To Haves
- Experience with AI frameworks and MLOps tools including LangChain, LangFlow, MLflow, Ray, and SGLang, and serving engines such as vLLM.
- Experience with NVIDIA KAI Scheduler or similar Kubernetes-native schedulers, such as Run:ai, Kueue, Volcano, or Slurm.
- Experience with agent runtimes and harnesses such as NVIDIA OpenShell and NemoClaw, OpenClaw, and Hermes, including sandboxing, policy, and inference routing for always-on agents.
- Experience with NVIDIA AI Enterprise, including NIM microservices, NeMo, Triton/Dynamo, GPU and Network Operators, and NVIDIA AI Blueprints.
- Experience with private, sovereign, or regulated-industry AI deployments, or hybrid cloud platforms such as HPE GreenLake.
- Prior engineering, solutions architecture, or forward-deployed experience.
- MBA or advanced technical degree.
Responsibilities
- Own strategy and roadmap for a Private Cloud AI product area across GPU compute, AI networking, and the AI software stack, tied to revenue, adoption, and utilization goals.
- Define the platform across GPU and accelerator configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling, and curated AI tools.
- Drive features that improve GPU utilization and time-to-value, including GPU sharing, fair-share quotas, gang scheduling, and multi-tenant isolation.
- Lead the agentic AI roadmap, including secure agent runtimes, model serving, and developer frameworks as supported, enterprise-ready platform experiences.
- Partner with NVIDIA and the open-source ecosystem to define integrations, validated designs, and release timing.
- Work directly with enterprise, sovereign, and service-provider customers to translate workloads into requirements and product requirement documents.
- Drive product launches end to end with engineering, solutions, marketing, and sales, and track results after general availability.
Benefits
- Comprehensive benefits supporting physical, financial, and emotional wellbeing for team members and their loved ones.
- Career development programs to support professional goals and skills growth.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
