Principal Product Manager

Hewlett Packard Enterprise

. Own strategy and roadmap for a Private Cloud AI platform 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 extensive experience in product management and architecture for AI and cloud infrastructure, with a strong focus on GPU platforms, Kubernetes orchestration, and multi-tenant workload management. Proven ability to drive product strategy, collaborate with cross-functional teams, and deliver complex hardware-plus-software solutions to enterprise customers.

Highest-signal resume keywords

Product Management ExperienceAI/ML Product OwnershipNVIDIA GPU PlatformsKubernetes OperationsMulti-Tenant Workload Scheduling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GPU ComputeAI NetworkingAI Software StackRDMARoCEInfiniBandEthernet AI FabricsCloud InfrastructureHPCWorkload Scheduling

Soft Skills

Strong Communication Skills

Tools & Technologies

KubernetesNVIDIA KAI SchedulerMLflowLangChainRun:aiSlurmNVIDIA OpenShellTriton/DynamoHPE GreenLakeNIM Microservices

Industry Keywords

Private CloudAI DeploymentsEnterprise SolutionsSovereign IndustryRegulated Industry

Tech Stack

Tools & technologies

CloudKubernetesMicroservicesRay

About the role

Key responsibilities & impact

Own strategy and roadmap for a Private Cloud AI platform 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 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 sizing for training, fine-tuning, and inference
Hands-on experience with RDMA, RoCE, InfiniBand, Ethernet AI fabrics, DPUs/SuperNICs, and fabric design
Working knowledge of Kubernetes and cloud-native operations
Knowledge of GPU workload scheduling and isolation in multi-tenant clusters
Track record of shipping complex hardware-plus-software solutions to enterprise customers
Strong written and verbal communication skills
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Preferred: experience with LangChain, LangFlow, MLflow, Ray, SGLang, vLLM, NVIDIA KAI Scheduler, Run:ai, Kueue, Volcano, Slurm, NVIDIA OpenShell, NemoClaw, OpenClaw, Hermes, NIM microservices, NeMo, Triton/Dynamo, GPU and Network Operators, NVIDIA AI Blueprints, private/sovereign/regulated-industry AI deployments, HPE GreenLake, engineering, solutions architecture, or forward-deployed experience

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
Hybrid work arrangement
Variable incentives may also be offered
Accessibility accommodations during the application or interview process
Inclusive workplace culture