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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Customer Program Manager - AI Platform - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $322,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Big Data, Bug Tracking Systems, Cloud Computing, Information Lifecycle Management, Cloud Services, Software Engineering, Large Language Models, AI Platforms, Information Technology, Data Generation - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Customer-Program-Manager---AI-Platform_JR2021831-1 ## 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., * 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. ## Description * 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 ## Related Videos - [Big Business, Big Barriers? 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