Segment Sales Leader, Enterprise Platforms

For over 30 years, NVIDIA has been at the forefront of computer graphics, PC gaming, and accelerated computing — a legacy built on bold ideas and the dedicated people who bring them to life. Today, we're harnessing the transformative power of AI to define the next era of computing: one where our GPUs , CPUs and networking infrastructure serve as the intelligence behind computers, robots, and autonomous vehicles that understand and navigate the world. We believe the most meaningful breakthroughs happen when people with different perspectives and experiences work together. As an NVIDIAN, you'll join a diverse, inclusive community where every voice is valued, and everyone is supported to do their best work. Join NVIDIA's Segment Sales team for RTX P RO Data Center — a high-impact opportunity to help shape one of NVIDIA's fastest-growing product lines at the intersection of AI inference and enterprise GPU deployment. You'll work alongside a collaborative, cross-functional team spanning product, marketing, supply chain, and regional sales — helping partners and customers build the AI infrastructure that defines what's next. We know that confidence gaps can sometimes hold dedicated people back from applying . If this role excites you and you believe you can make a meaningful contribution, we warmly encourage you to apply — even if you don't meet every qualification listed. What you'll be doing Par tner in le ading the segment sales motion for NVIDIA RTX PRO Blackwell Server Edition, building the pipeline, partner ecosystem, and customer adoption strategy for enterprise AI inference and GPU-accelerated workloads . Champion OEM and channel partner execution — build and manage a high-performing partner ecosystem, driving enablement, MDF program execution, and joint go-to-market campaigns Collaborate on go-to-market strategy — develop and implement segment-specific sales plays for AI F actory deployments. Translate product positioning into field-ready narratives, battle cards, and enablement materials. Own segment reporting — track pipeline growth, consolidate partner POS/sell-through data, and produce timely reporting to identify risk early and mobilize resources Work closely with internal and external (partner) teams to develop complex sales pitches, collateral and end customer testimonials to grow the ecosystem What we need to see Bachelor's degree or equivalent experience. 12+ years of enterprise or data center sales experience. Experience managing OEM and distribution channel partners at a hardware or platform company. Strong understanding of go-to-market approaches, channel sales, and strategy, with the ability to adapt as portfolios and GTM strategies evolve. Fluency in CRM-based pipeline management and forecasting. Ways to stand out from the crowd Deep familiarity with AI/ML infrastructure: GPU architecture, inference workloads, vGPU , and virtualization. Understanding of AI inference “ tokeno mics ” , including token throughput, cost per token, utilization , and return on investment . Curiosity about where AI factory deployment, pixel streaming, and enterprise GPU computing are heading — and how RTX fits into that picture. Experience leading sales engagements directly with C-suite customers. Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 8, 2026. 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.