英伟达Enterprise Customer Technical Program Manager

• Leading execution and technical engagement directly with NCPs and their ODM/OEM partners. • Integrating datacenter tools and operationalizing processes for AI factory build-out, resolving any blocking issues to keep projects on track. • Ensuring reliable assembly of groundbreaking AI infrastructure platforms by working closely with NCP’s ODMs or OEMs to meet specified metrics and schedules. • Assembling and guiding cross-functional teams, ensuring alignment and execution excellence. • Ensure timely delivery of customer-specific features and production deployment. • Communicate program status, risks, and insights to senior leadership.

We are now looking for a Customer Technical Program Manager ! At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science. It started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working and creative people to help us take on some of these once-in-a-lifetime opportunities.As a key member of the Customer Program Management Team for NVIDIA's Enterprise business units, we are looking for a Program Management professional who will be responsible for leading customer relations as well as technical/operational program execution for some of our most important enterprise and cloud service provider customers. What you’ll be doing: • You will first define the strategy and tactics for successfully executing graphics-based server product solutions (including AI/deep learning, high-performance computing, virtualization, and remote visualization), from evaluation/proof-of-concept, to design/development/qualification/validation, through customer acceptance and production datacenter deployment. • Execute the plan you created by: identifying and assembling the core support team, formally kicking off the project with the customer, supporting the design-in effort by providing technical collateral/product samples/tools, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of any blocking issues/bugs, and ensuring customer acceptance and production deployment. • Post-production/deployment, you will provide sustaining technical support to the customer and act as a case manager to lead resolution of field quality issues/escalations. • Translation of customer requirements into specific tasks and assignment of those tasks to relevant functional areas should come second nature to you. Collecting, prioritizing, tracking, and driving customer-reported issues to resolution/closure is a key focus of this role. • Are you able to handle multiple customers and customer programs at a time, across worldwide geographies and time zones? • Can you effectively organize and lead complex technical engineering-to-engineering (hardware and software) discussions? • Work closely with engineering, operations, quality, marketing, and sales teams to resolve technical and logistical issues.

• Drive business impact across multiple feature areas by defining success metrics, identifying long-term investment opportunities, and aligning with Microsoft’s AI strategy. • Own the roadmap for intelligent collaboration experiences, including Copilot integrations, and lead scenario walkthroughs and golden configuration development with partner teams. • Define and deliver feature sets that balance AI innovation with fundamentals like sync reliability, performance, and accessibility; facilitate usability reviews with customers and stakeholders. • Leverage AI tools and agents to accelerate product development workflows, improve decision-making, and model best practices as an AI-native PM. • Partner with engineering, design, and marketing to build and launch features at scale, including rollout plans, customer support strategies, and internal enablement. • Engage with customer communities, MVPs, and enterprise stakeholders to build trust, gather feedback, and identify opportunities for deprecation or iteration. • Collect performance metrics and form hypotheses to improve product quality and relevance, especially in areas with complex technical or compliance requirements.

Key Responsibilities• Lead the product and platform strategy for Researcher, Declarative Agent (DA), and GPT-5, ensuring robust, scalable, and reliable AI-powered features on mainline BizChat. • Drive deep technical and scenario-based analyses to enhance AI feature quality and relevance for global markets, with a focus on business productivity solutions. • Collaborate with science and engineering teams to build and optimize machine learning infrastructures, improving model quality, performance, and user experience. • Engage directly with customers and key partners to gather requirements, prioritize features, and foster trusted relationships across internal and external stakeholders. • Manage complex projects with clear timelines and deliverables, ensuring alignment with Microsoft’s strategic objectives for BizChat and enterprise AI solutions. • Mentor and guide cross-functional teams, promoting best practices in product management and AI development.