Principal Product Manager

Hewlett Packard Enterprise

. Own strategy and roadmap for a Private Cloud AI product 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 for Private Cloud AI solutions, focusing on GPU compute, AI networking, and the AI software stack. Proven ability to lead cross-functional teams and drive product strategy, development, and launch in complex hardware-plus-software environments.

Highest-signal resume keywords

10+ Years Product Management ExperienceHands-On Experience With NVIDIA GPU PlatformsWorking Knowledge Of KubernetesExperience With AI/ML And HPC ProductsStrong Written And Verbal Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Workload SizingGPU SchedulingMulti-Tenant IsolationFabric DesignRDMARoCEInfiniBandEthernet AI FabricsCloud InfrastructureAI Frameworks

Soft Skills

Strong Communication

Tools & Technologies

KubernetesNVIDIA KAI SchedulerNVIDIA AI Enterprise ToolsLangChainMLflowRayNIMNeMoTriton/DynamoSpectrum-X

Certifications & Qualifications

Bachelor's Degree In Computer ScienceMBA Or Advanced Technical Degree

Industry Keywords

Private CloudAI DeploymentsHPCCloud-Native OperationsRegulated-Industry AI

Tech Stack

Tools & technologies

CloudKubernetesRay

About the role

Key responsibilities & impact

Own strategy and roadmap for a Private Cloud AI product 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 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 AI workload sizing
Hands-on experience with RDMA, RoCE, InfiniBand, Ethernet AI fabrics, DPUs/SuperNICs, and fabric design
Working knowledge of Kubernetes, cloud-native operations, GPU scheduling, and multi-tenant isolation
Track record shipping complex hardware-plus-software solutions to enterprise customers
Strong written and verbal communication
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Preferred: AI frameworks and MLOps including LangChain, LangFlow, MLflow, Ray, SGLang, and vLLM
Preferred: NVIDIA KAI Scheduler or similar Kubernetes-native schedulers
Preferred: NVIDIA OpenShell, NemoClaw, OpenClaw, Hermes, sandboxing, policy, and inference routing
Preferred: NVIDIA AI Enterprise tools including NIM, NeMo, Triton/Dynamo, GPU and Network Operators, and AI Blueprints
Preferred: experience with private, sovereign, or regulated-industry AI deployments or hybrid cloud platforms
Preferred: prior engineering, solutions architecture, or forward-deployed experience; MBA or advanced technical degree

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace
Variable incentives may also be offered