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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Senior Customer Program Manager – NVIDIA Cloud Partners at NVIDIA

RoleTPM
LevelSenior
LocationUnited States, Canada, Santa Clara
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

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.

What We Need to See:

  • 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.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Required skills

program management

customer engagement

cross-functional leadership

technical planning

stakeholder management

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

10 reviews

4.4

10 reviews

Work-life balance

2.8

Compensation

4.5

Culture

4.2

Career

4.3

Management

3.8

78%

Recommend to a friend

Pros

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

Cons

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

Salary Ranges

79 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7 reports

$170,275

total per year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview experience

5 interviews

Difficulty

3.0

/ 5

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience