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NVIDIA

Segment Sales Leader, Enterprise Platforms

NVIDIA
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senior full-time Santa Clara, CA

First indexed 4 Aug 2026

Description

Join NVIDIA's Segment Sales team for RTX PRO 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 will 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.

Responsibilities

  • Partner in leading 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 Factory 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.

Requirements

  • 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.

Preferred Qualifications

  • Deep familiarity with AI/ML infrastructure: GPU architecture, inference workloads, vGPU, and virtualization.
  • Understanding of AI inference “tokenomics”, 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.

You will also be eligible for equity and benefits.