Senior Customer Program Manager – AI Platform
Nvidia
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4,123 open customer roles across 721 companies are on ApplySarthi right now, most of them in Bengaluru (72), Delhi NCR (69), Hyderabad (35).
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What customer roles keep asking for: Customer success (34%), SaaS (21%), Account management (19%), CRM (17%), Stakeholder management (14%), Salesforce (14%), Excel (13%), Supply chain (13%) — counted across their open postings here.
Nvidia has 3,820 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for customer roles keep coming back to Customer success, SaaS, Account management, CRM. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Supply chain? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Senior Customer Program Manager – AI Platform at Nvidia interview free →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 other objective job-related factors. The expected base salary range for this position 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 November 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.
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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.