Global Enterprise AI Sales Executive – NVIDIA AI Data Platform in New York at Jobgether

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.

• 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.

• 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, including Generative AI and LLMs, RAG, vector databases, embeddings, enterprise search, agentic AI, inference, model development, data pipelines, GPUs, and AI infrastructure.
• Demonstrate success navigating complex, multi-stakeholder enterprise sales cycles involving business sponsors, technical evaluators, procurement, security, legal, and executive decision-makers.
• Be able to translate technical capabilities into compelling business cases with measurable value across productivity, risk reduction, data access, speed to insight, operational efficiency, and time to production.
• Have experience operating within a matrixed specialist-sales model alongside Account Executives, sales engineers, professional services, marketing, product teams, and channel or alliance partners.
• Demonstrate exceptional executive communication, consultative discovery, presentation, negotiation, relationship-building, and account-planning skills.
• Be capable of working independently across global geographies, coordinating virtual pursuit teams, and traveling internationally as required.
• Experience with NVIDIA Enterprise AI technologies and the NVIDIA field and partner ecosystem is highly desirable.
• Background in Generative AI, LLMs, RAG, AI infrastructure, GPU computing, HPC, AI storage, or AI development and inference platforms is strongly preferred.
• Experience with enterprise data platforms, unstructured data management, data discovery, governance, vector databases, semantic search, or enterprise search is advantageous.
• Experience developing joint go-to-market initiatives with cloud providers, OEMs, systems integrators, resellers, or strategic technology partners is valuable.
• Familiarity with structured enterprise sales methodologies, value-selling disciplines, qualification frameworks, mutual action planning, and executive business-case development is preferred.
• Must be based in the United States and authorized to work in the U.S. without sponsorship.

• Anticipated base salary range of $300,000–$350,000 OTE, with actual compensation determined by experience, education, skills, abilities, internal equity, and budgetary considerations.
• Broad health plan options covering medical, dental, and vision care.
• Life and disability insurance coverage.
• 401(k) retirement plan.
• Flexible time off.
• Remote work opportunity within the United States.
• Global scope with exposure to major enterprise AI initiatives and strategic customers.
• High-visibility opportunity to influence a developing global AI sales motion and strategic ecosystem partnerships.
• Close collaboration with leading AI, cloud, infrastructure, OEM, and systems integration partners.
• Opportunity to engage with executive stakeholders and complex enterprise technology initiatives across industries.