Customer Program Manager - Generative AI
NVIDIA
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
What You Will Be Doing
As a Customer Program Manager - Generative AI, you will define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements. This role involves translating customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.
You will 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. Acting as the primary customer interface, you will facilitate program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.
Your responsibilities include driving program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance. You will also provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain. Monitoring factory production schedules, yields, and blockers, and collaborating with ODM/contract manufacturers to resolve issues and meet operational targets will be key. Proactively communicating program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams) will ensure transparency and alignment.
What We Need To See
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 8-10+ years of program/project management experience in the semiconductor, IT, automotive, or embedded systems industries.
- Strong technical background in hardware and/or software product development with experience working closely with OEMs and ODMs for datacenter's deployments.
- 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
- Track record running end-to-end hardware and software product development in industries such as datacenter/server and semiconductors.
- Prior experience in large-scale enterprise/server platforms specific to generative AI vertical.
- Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.
- Proven expertise in leading all aspects of production schedules, optimizing line yields, and resolving sophisticated field quality challenges.
- Strong background thriving in dynamic, high-growth environments, with proven adaptability to obscurity, rapid change, and matrixed team structures.
Key skills/competency
- Program Management
- Generative AI
- Customer Relationship Management
- Cross-functional Leadership
- Product Lifecycle Management
- Technical Project Execution
- OEM/ODM Collaboration
- Issue Resolution
- Datacenter Deployments
- Strategic Communication
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for Generative AI: Customize your resume to highlight program management, AI, semiconductor, and datacenter experience relevant to NVIDIA.
- Showcase technical depth: Emphasize your background in hardware/software product development and experience with OEMs/ODMs.
- Prepare for behavioral interviews: Practice STAR method responses demonstrating leadership, cross-functional collaboration, and problem-solving skills at NVIDIA.
- Network effectively: Connect with current NVIDIA employees on LinkedIn to gain insights and potentially secure referrals.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background