Nvidia Technical Marketing Program Manager - Learning Training 

United States, California 

91171444

What you'll be doing:

• Lead end-to-end program management for hands-on labs, workshops, and adjacent initiatives at conferences.

• Coordinate event logistics, technical requirements (equipment, platforms, content), and cross-functional teams to ensure seamless delivery of training experiences.

• Plan, forecast, schedule, and track training program achievements.

• Define and track metrics to measure program efficiency, participant engagement, and learning outcomes; analyze feedback to drive continuous improvement.

• Act as the main contact for internal collaborators, external partners, and event vendors regarding training program implementation.

• Drive process improvements for scaling training delivery, including automation, documentation, and standardization of training assets.

• Grow the physical AI training program at events to make more meaningful contributions to NVIDIA’s strategic training goals at events.

What we need to see:

• Bachelor’s or Master’s degree in a related field of study (Computer Science, Engineering, Business Administration or Management) or equivalent experience.

• 5+ years of experience in technical program management, with a focus on learning, training, or developer enablement.

• Consistent track record of delivering sophisticated technical training programs at scale, preferably at conferences or large events.

• Strong communication skills and ability to collaborate effectively, with experience working in complex organizational structures.

• Ability to analyze data, report on program success, and implement improvements based on feedback and metrics.

Ways to stand out from the crowd:

• Experience developing and delivering hands-on technical workshops or certification programs at industry-leading conferences.

• Grasp of technical deployment knowledge including but not limited to virtualization equipment, GPU HW, system configurations, etc.

• Proven process improvement and automation in training operations.

• Technical proficiency in relevant domains (simulation technology, physical AI, GPU technologies, developer tools, etc.) and NVIDIA technologies and developer ecosystem.

• Familiarity with learning management systems (LMS) and virtual/hybrid event platforms.