Global Enterprise AI Sales Executive – NVIDIA AI Data Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Global Enterprise AI Sales Executive – NVIDIA AI Data Platform based in United States. The Global Enterprise AI Sales Executive will drive global adoption of an enterprise AI data platform across large organizations and strategic accounts.

This quota-carrying specialist role focuses on creating and closing transformational opportunities spanning AI, data, infrastructure, and enterprise applications.

You’ll engage senior business, technology, data, and AI leaders to uncover high-value use cases and turn emerging AI initiatives into measurable business outcomes.

The role combines enterprise hunting, executive-level business development, value engineering, and strong fluency in modern AI infrastructure and data architectures.

You’ll orchestrate complex pursuits from discovery and proof of value through commercial negotiation and production deployment.

The position also involves close collaboration with regional sales teams, NVIDIA, OEMs, cloud providers, systems integrators, and strategic technology partners.

This is an opportunity to help shape a scalable global AI sales motion while influencing how enterprises make distributed data ready for next-generation AI applications.

Accountabilities

• Own global strategy, qualified pipeline, forecast accuracy, and revenue execution for Enterprise AI and NVIDIA AI Data Platform opportunities.
• Partner with regional Account Executives and sales leadership to prioritize target accounts, identify funded AI initiatives and buying centers, develop account plans, and orchestrate complex pursuits through close.
• Create demand by engaging AI, data, application, and line-of-business leaders to uncover business challenges, valuable data assets, and AI use cases where the platform can deliver measurable outcomes.
• Lead executive discovery sessions, value-engineering conversations, workshops, solution briefings, and proof-of-value planning that connect data accessibility, governance, performance, and time-to-production with customer priorities.
• Position the combined value of the AI data platform, NVIDIA technologies, and broader ecosystem solutions while clearly differentiating against alternative data platforms, AI infrastructure, storage solutions, and point products.
• Guide opportunities from early concept through technical validation, RFI/RFP responses, proposal development, commercial negotiation, and production adoption, coordinating sales, technical, services, product, and partner resources.
• Collaborate with NVIDIA field teams, solution architects, OEMs, cloud and technology partners, systems integrators, and channel partners to develop joint account strategies, co-selling motions, and demand-generation initiatives.
• Build compelling customer business cases that define expected outcomes, data and infrastructure requirements, adoption paths, risks, TCO/ROI considerations, and success measures from proof of concept through scaled production.
• Maintain rigorous opportunity qualification, mutual action plans, competitive positioning, next steps, and executive-sponsor alignment using structured sales methodologies and CRM discipline.
• Develop repeatable global sales plays, qualification criteria, customer stories, and use-case messaging while enabling sellers and partners on Enterprise AI positioning, discovery, competitive differentiation, and NVIDIA-related opportunities.
• Represent the organization in customer meetings, executive briefings, NVIDIA events, partner engagements, and industry conferences, while communicating market feedback to Product, Marketing, and senior leadership teams.

Requirements

• Bring 10+ years of enterprise technology sales, business development, or specialist-sales experience with a sustained record of pipeline creation, complex deal closure, and achievement of revenue objectives.
• Have meaningful experience selling Enterprise Data Storage, AI, Generative AI, data platforms, AI infrastructure, GPU computing, enterprise storage, cloud, or adjacent technologies to large organizations and business units.
• Demonstrate the ability to originate and advance new AI initiatives from early discovery through proof of concept or proof of value, commercial close, and production deployment.
• Possess strong working knowledge of enterprise AI concepts and architectures, inc…