NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA, the leader in AI computing, as a Segment Sales Leader for our vGPU Software. This role provides a ground breaking opportunity to drive the growth of our innovative virtual GPU platform. You will collaborate with some of the best minds in the industry, crafting the future of computing by enabling powerful AI applications. This position is based in Santa Clara, CA, a hub for innovation and technology.
What you'll be doing:
Provide cross-functional Go-To Market (GTM) leadership to grow the vGPU software business. Define, document, and align the GTM team on sales strategies and execution.
Collaborate with various functions such as product management, marketing, sales operations, and finance to build positive relationships and teamwork.
Work closely with finance and executive sales leadership to accurately forecast worldwide vGPU bookings and revenue.
Define and complete a quarterly sales enablement plan, collaborating with product marketing to build sales tools.
Develop and maintain relationships with key decision makers through regular engagement and in-person interactions.
Build and manage a significant customer opportunities pipeline, forecasting a multi-year revenue plan.
Represent the business and its trends to top executives, regularly publishing important data and progress reports.
Collect and share customer feedback with product management, engineering, and marketing teams to influence the product roadmap.
Determine deal-level pricing and nurture strategic partnerships with key ecosystem ISVs in virtualization and end-user computing.
What we need to see:
Bachelor’s degree or equivalent experience.
12+ years of relevant sales experience, with 5+ years in product line or sales leadership, ideally passionate about virtualization or end-user computing.
Proven track record of leading significant revenue responsibilities, software sales, and exceeding targets.
Strong knowledge of go-to-market approaches, account segmentation, products, and marketing tactics.
Strong grasp of the sales process and channel sales, with the ability to adapt quickly to changes in the product portfolio or GTM strategy.
Ways to stand out from the crowd:
Experience with on-premises and public cloud virtualization platforms.
In-depth knowledge of Citrix and VMWare virtualization platforms along with data center infrastructure.
Proven experience in building cross-functional internal teams that touch all aspects of product line enterprise sales.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your cash compensation will be determined based on your location, experience, and other objective job-related factors, with 85% paid through base salary and 15% through variable compensation. The expected cash compensation range for this position is 224,000 USD – 356,500 USD.You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor's degree or equivalent experience
- 12+ years of relevant sales experience
- 5+ years in product line or sales leadership
- Proven track record of leading significant revenue responsibilities
- Proven software sales experience
- History of exceeding sales targets
- Strong knowledge of go-to-market approaches, account segmentation, products, and marketing tactics
- Strong understanding of the sales process and channel sales
- Ability to adapt to changes in product portfolios or go-to-market strategy
- Passion for virtualization or end-user computing
- Experience with on-premises and public cloud virtualization platforms
- In-depth knowledge of Citrix and VMware virtualization platforms and data center infrastructure
- Experience building cross-functional internal teams supporting enterprise product-line sales
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
