Senior Customer Program Manager – Nvidia Cloud Partners

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Customer Program Manager at NVIDIA to support planning and execution of technical and operational programs for key partners and maintain strong customer relationships. Role involves driving collaboration with enterprise customers, cloud service providers, and Tier-1 partners, translating customer requirements into actionable tasks for engineering, operations, and product teams, and acting as the primary customer and partner interface.

What you'd actually do

  1. Define and manage program schedules, deliverables, and milestones aligned with NCP platform strategy and partnership goals.
  2. Translate customer and partner requirements into actionable tasks for engineering, operations, and product teams, ensuring alignment with program priorities and technical feasibility.
  3. Provide cross-functional leadership and coordination, driving execution across engineering, operations, and customer programs to deliver predictable, high-quality results.
  4. Act as the primary customer and partner interface, facilitating program kickoffs, technical and business reviews, and issue management — ensuring clear communication and trusted relationships throughout the engagement lifecycle.
  5. Drive program execution from inception through production launch, maintaining close collaboration with customers to manage program scope, schedules, and deliverables.

Skills

Required

  • program/project management
  • cloud services
  • enterprise technology
  • AI solution deployment
  • cloud infrastructure
  • AI inference workflows
  • hardware acceleration technologies (GPUs or edge compute)
  • customer-facing programs
  • technical and business stakeholders
  • communication
  • relationship-building
  • organizational and leadership abilities
  • stakeholder management

Nice to have

  • Experience leading customer partnership programs for AI or cloud service providers, especially in inference or model deployment.
  • Technical depth in AI model architectures and performance optimization on cloud or hybrid systems.
  • Balancing technical innovation with practical delivery for enterprise customers.
  • Production scaling and reliability of inference pipelines or GPU infrastructure.
  • Outstanding leadership in stakeholder management, cross-functional communication, and issue resolution.

What the JD emphasized

  • 12+ years of program/project management experience in cloud services, enterprise technology, or AI solution deployment environments.
  • Solid understanding of cloud infrastructure, AI inference workflows, and hardware acceleration technologies (GPUs or edge compute).
  • Proven experience managing complex, customer-facing programs involving both technical and business stakeholders.
  • Technical depth in AI model architectures and performance optimization on cloud or hybrid systems.
  • Strong grasp of production scaling and reliability of inference pipelines or GPU infrastructure.