Lead customer-facing technical engagements, partnering with C-level executives, research leads, and engineering teams to define AI infrastructure strategy and optimize price-per-flop performance.
Guide customers through complex system architecture designs, including workload sizing, mixed-compute deployments, and performance trade-offs between TPU and GPU clusters.
Partner cross-functionally with Core Infrastructure Engineering, Specialist Sales, and Product Management to resolve technical blockers on tier-one engagements and develop global sales playbooks.
Define requirements across backend operational layers and distributed systems to accelerate adoption of specialized accelerator hardware and large model training/inference stacks.
Represent customer requirements back to product and engineering teams to influence future hardware roadmaps, software tooling, and platform capabilities.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: Master’s degree or PhD in Computer Science, Computer Engineering, or a related field
Lead product strategy, roadmap planning, and execution for Cloud Provider and Hyperscaler segment, focusing on Tier 1 & Tier 2 customers and emerging AI Cloud Providers.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 197,000 - 420,000 in California
Responsibilities
Lead complex HW and system NPI programs leveraging expertise in HW systems and network ASICs.
Drive the Cloud Customer segment platforms strategy, product definition, and program execution.
Support fast-moving cloud customer needs and pursue significant opportunities with Tier 1/Tier 2 Cloud customers and Neoclouds building AI clusters.
Collaborate with customers, sales, and systems engineering to translate market requirements into engineering product requirements.
Manage requirements and drive engineering commitments in close partnership with various sales teams.
Requirements
BS/MS in Computer Science/Engineering or related field
Lead product strategy, roadmap planning, and execution for Cloud Provider and Hyperscaler segment, focusing on Tier 1 & Tier 2 customers and emerging AI Cloud Providers.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 197,000 - 420,000 in California
Responsibilities
Lead complex HW and system NPI programs leveraging expertise in HW systems and network ASICs
Drive the Cloud Customer segment platforms strategy, product definition, and program execution
Support fast-moving cloud customer needs and pursue significant opportunities with Tier 1/Tier 2 Cloud customers and Neoclouds building AI clusters
Collaborate with customers, sales, and systems engineering to translate market requirements into engineering product requirements
Manage requirements and drive engineering commitments in close partnership with various sales teams
Requirements
BS/MS in Computer Science/Engineering or related field
Own strategy and roadmap for Private Cloud AI area across GPU compute, AI networking, and AI software stack, driving product launch and adoption.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 178,000 - 339,000 in Massachusetts // 157,000 - 361,000 in Texas
Responsibilities
Own strategy and roadmap for Private Cloud AI area
Define platform layers including GPU, networking, storage, Kubernetes orchestration
Drive features to increase GPU utilization
Lead agentic AI roadmap
Partner with NVIDIA and open-source ecosystem
Requirements
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Nice to have: AI frameworks and MLOps: LangChain, LangFlow, MLflow, Ray, SGLang
Nice to have: GPU scheduling: NVIDIA KAI Scheduler, Run:ai, Kueue, Volcano, Slurm
Nice to have: Agent runtimes: NVIDIA OpenShell, NemoClaw, OpenClaw, Hermes
Nice to have: NVIDIA AI Enterprise: NIM microservices, NeMo, Triton/Dynamo
The Principal Product Manager will own a major slice of the HPE Private Cloud AI platform end to end, from GPU compute and AI fabric to the AI software stack developers use every day.
Locations (3)
Colorado, United States
Massachusetts, United States
Texas, United States
Compensation
Annual Salary USD 165,500 - 313,500 in Colorado // 178,000 - 339,000 in Massachusetts // 157,000 - 361,000 in Texas
Responsibilities
Own strategy and roadmap for Private Cloud AI area across GPU compute, AI networking, and the AI software stack
Define the platform across layers: GPU accelerator configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling
Drive features that raise utilization-to-value, such as GPU sharing, fair-share quotas, and multi-tenant isolation
AI Infrastructure Global Technical Sales LeadGoogle · Austin, US+4 more