Global Enterprise AI Sales Executive – NVIDIA AI Data Platform

Hammerspace delivers a Global Data Environment spanning data centers, public clouds, and heterogeneous storage infrastructure. The Global Enterprise AI Sales Executive will drive worldwide adoption of the Hammerspace NVIDIA AI Data Platform by creating pipeline, developing strategic enterprise opportunities, coordinating ecosystem partners, and leading complex AI sales pursuits through production deployment.

Responsibilities:

• Own global strategy, qualified pipeline, forecast accuracy, and revenue execution for Hammerspace Enterprise AI and NVIDIA AIDP 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 problems, high-value data assets, and AI use cases where Hammerspace creates measurable outcomes
• Lead executive discovery, value-engineering conversations, workshops, solution briefings, and proof-of-value plans that connect data accessibility, governance, performance, and time-to-production to customer business priorities
• Position the combined value of Hammerspace, NVIDIA, and ecosystem solutions; articulate differentiation against alternative data-platform, AI-infrastructure, storage, and point-solution approaches
• Guide opportunities from concept through technical validation, RFI/RFP response, proposal development, commercial negotiation, and production adoption; coordinate sales, technical, services, product, and partner resources
• Work with NVIDIA field teams, solution architects, OEMs, cloud and technology partners, systems integrators, and channel partners to develop joint account strategies, co-sell motions, and demand-generation initiatives
• Build compelling customer business cases that define expected outcomes, data and infrastructure requirements, adoption path, risks, TCO/ROI considerations, and success measures from proof of concept to scaled production
• Maintain rigorous opportunity qualification, mutual action plans, competitive positioning, next steps, and executive-sponsor alignment using Hammerspace sales methodology and CRM discipline
• Develop repeatable global plays, qualification criteria, customer stories, and use-case messaging; enable sellers and partners on Enterprise AI positioning, discovery, competitive differentiation, and NVIDIA-related opportunities
• Represent Hammerspace at customer meetings, executive briefings, NVIDIA events, partner engagements, and industry conferences; communicate market feedback to product, marketing, and leadership teams

Requirements:

• MUST BE BASED IN US
• 10+ years of enterprise technology sales, business development, or specialist-sales experience, with a sustained record of creating pipeline, closing complex opportunities, and exceeding revenue objectives
• Meaningful experience selling Enterprise Data Storage , AI, Generative AI, data platforms, AI infrastructure, GPU computing, enterprise storage, cloud, or adjacent solutions to large end-user organizations and individual business units
• Demonstrated ability to originate and advance new AI initiatives from early-stage discovery through proof of concept or proof of value, commercial close, and production deployment
• Strong working knowledge of enterprise AI concepts and architectures, including GenAI and LLMs, RAG, vector databases, embeddings, enterprise search, agentic AI, inference, model development, data pipelines, GPUs, and AI infrastructure
• Proven success navigating multi-stakeholder sales cycles involving business sponsors, technical evaluators, procurement, security, legal, and executive decision-makers
• Ability to translate technical capabilities into a business case with measurable value, including productivity, risk reduction, data access, speed to insight, operational efficiency, and time to production
• Experience collaborating in a matrixed specialist-sales model with field Account Executives, sales engineers, professional services, marketing, product teams, and channel or alliance partners
• Exceptional executive communication, discovery, presentation, negotiation, relationship-building, and account-planning skills
• Ability to operate independently across global geographies, coordinate virtual pursuit teams, and travel internationally as required
• • NVIDIA Enterprise AI technologies and the NVIDIA field and partner ecosystem
• • Generative AI, Large Language Models, or Retrieval-Augmented Generation (RAG)
• • AI infrastructure, GPU computing, HPC, AI storage, or AI development and inference platforms
• • Enterprise data platforms, unstructured data management, data discovery, governance, vector databases, semantic search, or enterprise search
• • Joint go-to-market development with cloud providers, OEMs, systems integrators, resellers, or strategic technology partners
• • Structured enterprise sales methodologies and value-selling disciplines, including qualification, mutual action planning, and executive business-case development