Senior Account Manager - Research & Higher Ed AI Platform

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 200,000 - 357,000

Full time

14 days+
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Job summary

NVIDIA Corporation is seeking a Senior Account Manager to lead relationships with key R1 universities in the Northeast or Mid-Atlantic, partnering with PIs and university leaders to accelerate research using NVIDIA’s platform.

You will collaborate with cross-functional teams to drive adoption, forecast revenue, and align go-to-market strategies across AI/ML, life sciences, climate science, and engineering domains. Travel 25%+ as needed.

Qualifications

  • 8+ years proven experience in roles involving science or scientific business.
  • Experience navigating research universities and engaging collaborators from university leadership to PIs and Research Computing is highly desirable.
  • Curiosity and lifelong learning with ability to learn deeply technical concepts.
  • A BS degree or equivalent experience, or comparable professional background.
  • An advanced degree (MS, PhD, or equivalent) could be advantageous.
  • Drive to thrive in unstructured and evolving environments.

Responsibilities

  • Institution and Government Engagement: advise university and state leaders on NVIDIA’s vision, tech roadmaps, and research impact.
  • Grow the Business: forecast revenue and collaborate on go-to-market strategies with IT and business partners.
  • Research Community Partnership: build connections with leading labs and PIs across AI/ML, life sciences, physical sciences, climate science, engineering, and materials science.

Skills

University relationships
Strategic collaboration
Forecasting revenue
Cross-functional teamwork

Education

BS degree or equivalent
MS/PhD or equivalent

Job description

NVIDIA Corporation is seeking a Senior Account Manager to lead relationships with key R1 universities in the Northeast or Mid-Atlantic, partnering with PIs and university leaders to accelerate research using NVIDIA’s platform.

You will collaborate with cross-functional teams to drive adoption, forecast revenue, and align go-to-market strategies across AI/ML, life sciences, climate science, and engineering domains. Travel 25%+ as needed.

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