Senior Customer Program Manager - NVIDIA Cloud Partners

NVIDIA Ltd.
Santa Clara, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 322K

Job location

Santa Clara, United States of America

Tech stack

Artificial Intelligence
Cloud Computing
Performance Tuning
Cloud Services
Graphics Processing Unit (GPU)
Enterprise Software Applications
Delivery Pipeline
Information Technology
Hardware Acceleration
Hardware Infrastructure

Job description

We are seeking a Senior Customer Program Manager to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, and Tier-1 partners. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators

What You'll Be Doing:

  • Define and manage program schedules, deliverables, and milestones aligned with NCP platform strategy and partnership goals.
  • Translate customer and partner requirements into actionable tasks for engineering, operations, and product teams, ensuring alignment with program priorities and technical feasibility.
  • Provide cross-functional leadership and coordination, driving execution across engineering, operations, and customer programs to deliver predictable, high-quality results.
  • 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.
  • Drive program execution from inception through production launch, maintaining close collaboration with customers to manage program scope, schedules, and deliverables.
  • Provide ongoing post-launch support, managing priorities, customer escalations, and feedback, while ensuring smooth operational continuity and performance optimization.
  • Monitor program progress and resource commitments, collaborating with supplier, partner, and technical teams to meet deployment timelines and quality goals.
  • Proactively communicate program status, risks, actions, and achievements to customers, internal teams, and leadership, ensuring transparency and alignment across all stakeholder groups.

Requirements

  • Bachelor's or master's degree in computer science, engineering, or a related field or equivalent experience (business or technology management experience also valued).
  • 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.
  • Demonstrated ability to bridge technical concepts and customer needs, driving alignment between engineering deliverables and customer success outcomes.
  • Exceptional communication and relationship-building skills, with a talent for fostering trust and collaboration across functional and geographic boundaries.
  • Strong organizational and leadership abilities in highly dynamic, cross-functional environments.
  • Comfort working across diverse, multicultural teams and engaging with customers at both executive and operational levels.
  • Willingness to travel as required (up to 10%) and thrive in fast-paced, innovation-driven environments.

Ways to Stand Out from the Crowd:

  • 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.
  • Track record of balancing technical innovation with practical delivery for enterprise customers.
  • Strong grasp of production scaling and reliability of inference pipelines or GPU infrastructure.
  • Outstanding leadership in stakeholder management, cross-functional communication, and issue resolution.

Benefits & conditions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

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