Principal Product Manager

Hewlett Packard Enterprise

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

Posted 11/5/2026full-timeUnited StatesLead💰 $157,000 - $361,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management and architecture for Private Cloud AI, focusing on GPU compute, AI networking, and the AI software stack. Proven ability to drive product strategy, manage complex hardware-plus-software solutions, and collaborate with cross-functional teams to deliver enterprise-level AI products.

Highest-signal resume keywords

10+ Years Product Management ExperienceHands-On Experience with NVIDIA GPU PlatformsKnowledge of Kubernetes and Cloud-Native OperationsExperience with AI Frameworks and MLOps ToolsTrack Record of Shipping Complex Solutions

ATS Keywords

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Hard Skills

AI/ML Product ManagementHPC Product ManagementGPU Utilization OptimizationGPU Workload SchedulingMulti-Tenant IsolationRDMA and RoCE NetworkingInfiniBand and Ethernet AI FabricsNVIDIA KAI SchedulerNVIDIA AI Enterprise TechnologiesAgent Runtimes Knowledge

Soft Skills

Strong Written CommunicationStrong Verbal Communication

Tools & Technologies

KubernetesSpectrum-XInfiniBand FabricsNVIDIA OpenShellNemoClawMLflowRaySGLangVLLMHPE GreenLake

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMBA or Advanced Technical Degree (Preferred)

Industry Keywords

Private Cloud AIAI Networking DesignHybrid Cloud PlatformsEnterprise AI DeploymentsRegulated-Industry AI Deployments

Tech Stack

Tools & technologies

CloudKubernetesMicroservicesRay

About the role

Key responsibilities & impact

Own strategy and roadmap for a Private Cloud AI area across GPU compute, AI networking, and the AI software stack
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
Partner with NVIDIA and the open-source ecosystem on integrations, validated designs, and release timing
Work directly with enterprise, sovereign, and service-provider buyers to translate workloads into requirements and PRDs
Drive product launches end to end with engineering, solutions, marketing, and sales
Track product results with data after general availability

Requirements

What you’ll need

10+ years of product management, engineering, or architecture experience
5+ years owning AI/ML, HPC, or cloud infrastructure products
Hands-on experience with NVIDIA GPU platforms, server and rack architecture, power and cooling trade-offs, and sizing for training, fine-tuning, and inference
Hands-on experience with RDMA, RoCE, InfiniBand, Ethernet AI fabrics, DPUs/SuperNICs, and AI networking design
Working knowledge of Kubernetes, cloud-native operations, GPU workload scheduling, and multi-tenant isolation
Track record of shipping complex hardware-plus-software solutions to enterprise customers from requirements through launch and adoption
Strong written and verbal communication skills
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Knowledge of AI frameworks and MLOps tools including LangChain, LangFlow, MLflow, Ray, SGLang, and vLLM
Knowledge of GPU schedulers such as NVIDIA KAI Scheduler, Run:ai, Kueue, Volcano, or Slurm
Knowledge of agent runtimes and harnesses including NVIDIA OpenShell, NemoClaw, OpenClaw, and Hermes
Knowledge of NVIDIA AI Enterprise technologies 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 is preferred
Prior engineering, solutions architecture, or forward-deployed experience; MBA or advanced technical degree is a plus

Benefits

Comp & perks

Comprehensive health and wellbeing benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace
Reasonable accommodations during the application or interview process for applicants with disabilities