Senior Customer Program Manager – AI Platform

Posted 6 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
200K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead technical and operational programs for enterprise AI partners. Define schedules, translate customer requirements, drive cross-functional execution from design to production, manage risks and post-deployment support, and coordinate global teams to integrate complex AI model stacks into customer environments.
Summary Generated by Built In

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 turning points aligned with customers and partners roadmaps and requirements.

  • Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.

  • Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.

  • Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.

  • Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.

  • Provide ongoing post-deployment sustaining support, serving as case manager for high-priority concerns

  • Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.

  • Define the strategy and execution plans for successfully integrating complex AI model tech stacks in customer environments, from evaluation/proof-of-concept to design, development, qualification, and validation to production launch

What We Need to See:

  • Bachelor’s or master’s degree in computer science, Engineering, or a related field, or equivalent experience.

  • 12+ years of program/project management experience in Cloud providers, Automotive, Robotics or Physical AI industries

  • Strong technical background in hardware and/or software product development with experience working closely with cloud and AI solution providers

  • Experience driving AI Systems Orchestration.  Aligning engineering teams to scale large generative architectures while managing massive compute resources, infrastructure bottlenecks, and model release timelines

  • Consistent track record of leading complex, global programs through full development lifecycles into deployment and production

  • Excellent program management, communication, and organizational skills with the ability to prioritize issues and drive cross-functional alignment.

  • Consistent track record to coordinate with global teams and navigate multi-cultural, multinational business environments.

  • Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives.

  • Willingness to travel as required (up to 10%), and thrive in fast-paced, dynamic environments

Ways to Stand Out from the Crowd:

  • Experience working with Synthetic data generation pipelines and/or World Foundation Models

  • Experience managing data Lifecycle Management: Overseeing large-scale data curation pipelines, defining automated quality metrics for training data, and mitigating legal, privacy, and bias risks

  • Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.

  • Strong background thriving in dynamic, high-growth environments, with proven adaptability to obscurity, rapid change, and matrixed team structures.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

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 August 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • Bachelor's or master's degree in computer science, engineering, or related field, or equivalent experience
  • 12+ years of program/project management experience in cloud providers, automotive, robotics, or physical AI industries
  • Strong technical background in hardware and/or software product development with experience working closely with cloud and AI solution providers
  • Experience driving AI Systems Orchestration and scaling large generative architectures while managing compute resources and infrastructure bottlenecks
  • Proven track record leading complex, global programs through full development lifecycles into deployment and production
  • Excellent program management, communication, and organizational skills with ability to prioritize and drive cross-functional alignment
  • Experience coordinating with global, multicultural teams and navigating multinational business environments
  • Ability to distill complex technical concepts for technical and non-technical audiences, including executives
  • Willingness to travel as required (up to 10%)
  • Experience working with synthetic data generation pipelines and/or World Foundation Models
  • Experience managing data lifecycle management, large-scale data curation pipelines, and automated training data quality metrics
  • Strong leadership in matrixed collaboration, conflict resolution, and consensus-building
  • Proven adaptability thriving in dynamic, high-growth environments

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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