Senior Customer Technical Program Manager – AI Datacenter

Remote from: USA
Salary, yearly, USD: 168,000 - 322,000
Department: Project Management
Employment type: Full Time,
Job posted: 2 Jul 2026
Apply before: 2 Aug 2026
Experience level: Senior
Views / Applies: 113 / 4

About company

About NVIDIA

NVIDIA is a leader in AI computing and graphics technology.

Computer Hardware
1993

Actively Hiring

AI Summary

NVIDIA is seeking a Senior Customer Technical Program Manager to lead technical programs for strategic partners in AI datacenter deployments. This role involves managing program schedules, translating customer requirements into actionable plans, and coordinating cross-functional teams across engineering, operations, and sales. The ideal candidate has 8+ years of program management experience with a strong technical background in hardware/software engineering and experience with hyperscalers and OEM/ODMs. They will serve as the primary customer interface, driving programs from concept through production deployment while ensuring quality and timely delivery. The position requires excellent communication, leadership, and problem-solving skills in a fast-paced, dynamic environment.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight This role requires 8+ years of experience in program management, deep technical knowledge of AI infrastructure, and the ability to manage complex global programs across multiple teams, making it a challenging position suited for experienced professionals.

Salary Analysis

AI Insight The offered base salary range of $168,000 to $322,000 is highly competitive, reflecting the seniority and specialized nature of this role in the AI datacenter space. This range aligns with or exceeds market rates for senior technical program managers in the US, particularly at top tech companies like NVIDIA.

Core Skills Required

Program Management AI Infrastructure Customer Engagement Cross-functional Leadership Technical Program Management Data Center Hardware Engineering Software Engineering Stakeholder Management Product Lifecycle Management

Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Senior Customer Technical Program Manager position at NVIDIA. With over 8 years of program management experience in the IT industry and a strong technical background in AI infrastructure deployment, I am confident in my ability to lead complex programs for your strategic partners.

In my previous role, I successfully managed cross-functional teams to deliver accelerated computing platforms at scale, coordinating with hyperscalers and OEM/ODMs from design through production. My ability to translate customer requirements into actionable plans and drive resolution of critical issues aligns perfectly with the needs of this role.

I thrive in fast-paced, dynamic environments and have a proven track record of building strong customer relationships while ensuring program success. I look forward to the opportunity to contribute to NVIDIA's mission of transforming AI infrastructure.

Sincerely,
[Your Name]

Sample Interview Questions

Describe a time when you managed a complex global program with multiple stakeholders. How did you ensure alignment and timely delivery?

I led a program to deploy AI infrastructure across three data centers in different regions. I established a clear communication plan with weekly status meetings, defined roles and responsibilities using RACI matrices, and used a project management tool to track milestones. When there were conflicting priorities, I facilitated discussions to reach consensus and escalated issues promptly. The program was delivered on time and within budget.

How do you handle translating ambiguous customer requirements into clear technical plans?

I start by asking probing questions to understand the customer's goals and constraints. Then I work with engineering to define technical feasibility and create a requirements document. I use iterative reviews with the customer to validate assumptions and adjust plans. For example, in a recent project, the customer's vague requirement for 'high performance' was refined into specific latency and throughput targets through several workshops.

Can you provide an example of how you resolved a critical issue that threatened a program timeline?

During an AI server deployment, a hardware component shortage threatened our schedule. I immediately convened a cross-functional team including procurement, engineering, and the supplier. We identified an alternative component that met specifications and expedited qualification. I communicated the revised timeline to the customer and secured their approval. We mitigated the delay to only two weeks and maintained the overall program deadline.

How do you manage competing priorities among different teams (e.g., engineering, operations, sales)?

I prioritize based on impact to the program's critical path and customer commitments. I hold regular alignment meetings where each team presents their constraints. I use data-driven trade-off analyses to make recommendations and involve leadership when necessary. For example, when engineering wanted more testing time but sales needed early delivery, we agreed to a phased rollout with initial limited deployment followed by full testing.

Describe your experience working with hyperscalers and OEM/ODMs in a program management capacity.

I managed a program with a major cloud provider where we co-developed a custom AI server. I worked closely with their engineering team to define specifications and with the ODM to ensure manufacturability. I coordinated design reviews, managed qualification testing, and tracked production yields. This required balancing the customer's performance requirements with the ODM's cost constraints, resulting in a successful product launch.

We’re looking for a Senior Customer Program Manager to lead the charge on technical programs for some of NVIDIA’s most strategic partners to build exceptional customer relationship. As a core member of the Customer Program Management team, you’ll work with the world’s largest cloud service providers, hyperscalers, and their OEM/ODM partners to bring AI infrastructure to life at unprecedented scale. This role lives at the exciting intersection of engineering, operations, and customer engagement. We’re looking for someone who brings deep technical program management skills, a strong engineering background, and a love for fast-paced environments where success comes down to tight alignment, sharp judgment, and great partnership.

What you’ll be doing:

Define program schedules, deliverables, and key milestones, keeping them tightly aligned with customer and partner requirements.
Translate customer requirements into clear, actionable plans across engineering, quality, logistics, and sales. And drive issues to resolution before they become roadblocks.
Lead horizontally across cross-functional teams, navigating high-priority critical issues and rallying globally dispersed teams around a shared set of objectives.
Serve as the face of NVIDIA to the customer, leading program kick-offs, technical deep dives, design reviews, issue and bug tracking, qualification and validation efforts, and status updates throughout the product lifecycle.
Drive program execution from early design through production deployment, ensuring timely delivery, exceptional quality, and customer acceptance.
Champion post-deployment sustaining support, acting as case manager for the issues that matter most.
Monitor factory production schedules, yields, and blockers, partnering closely with ODMs and contract manufacturers to crush issues and hit operational targets.
Communicate program health, risks, and key issues proactively to customers, internal partners, and leadership across Hardware, Software, Operations, Business, Quality, Sales, and Product teams—keeping everyone aligned while moving at full speed.

What we need to see:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
8+ years of program or project management experience in the IT industry.
Strong technical background in hardware and/or software engineering, with experience working closely with hyperscalers and their OEM/ODMs on AI factory build-outs.
A proven track record of leading complex, global programs from concept through deployment and production.
Outstanding program management, communication, and organizational skills, prioritizing the right issues and driving cross-functional alignment.
Demonstrated ability to coordinate across global teams and navigate multi-cultural, multinational business environments with ease.
Excellent interpersonal skills, with a talent for distilling complex technical concepts for any audience, from engineers to executives.
Willingness to travel as required (up to 5%) and a love for fast-paced, dynamic environments.

Ways to stand out from the crowd:

Track record running end-to-end hardware and software product development and datacenter deployment.
Prior experience with deploying accelerated computing platform at-scale
Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.
Proven expertise managing production schedules, optimizing line yields, and resolving complex field quality challenges.
Demonstrated success in dynamic, high-growth environments, with proven adaptability to ambiguity, rapid change, and matrixed team structures.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, 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 168,000 USD – 258,750 USD for Level 4, and 200,000 USD – 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 5, 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.

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