AI GPU Product Manager, Data Center & Cloud

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 168,000 - 328,000

Full time

10 days ago
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Job summary

NVIDIA is seeking a senior Product Manager to own AI/data center product strategy and go-to-market plans. You will translate customer needs into GPU value propositions, work across engineering, operations, and sales to position products effectively.

The role requires 7+ years in tech with PM or AI-related background, a BS/MS in engineering or CS (MBA a plus), and strong cross-functional collaboration. Hybrid work and competitive compensation are offered.

Qualifications

  • 7+ years of total experience in technology with product management or AI-related roles
  • BS or MS in engineering, computer science, or related field; MBA a plus
  • Ability to contribute within 3 months
  • Knowledge of GPU, software and computing architectures
  • Strong learning mindset and ability to tackle complex trade-offs
  • Ability to work with cloud partners

Responsibilities

  • Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference
  • Identify opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
  • Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning
  • Work with our sales organization to develop effective sales collateral and tools

Skills

Product management
AI/ML
Cloud computing
Cross-functional collaboration
Stakeholder management

Education

BS in engineering or CS
MBA a plus

Job description

NVIDIA is seeking a senior Product Manager to own AI/data center product strategy and go-to-market plans. You will translate customer needs into GPU value propositions, work across engineering, operations, and sales to position products effectively.

The role requires 7+ years in tech with PM or AI-related background, a BS/MS in engineering or CS (MBA a plus), and strong cross-functional collaboration. Hybrid work and competitive compensation are offered.

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