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Home Flexible Job Board Global Enterprise AI Sales Executive – NVIDIA AI Data Platform

$300,000–350,000/yr 18d ago

Global Enterprise AI Sales Executive – NVIDIA AI Data Platform

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Hammerspace

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Summary

The executive will own the global strategy, pipeline, and revenue execution for Hammerspace Enterprise AI and NVIDIA AIDP opportunities. They will partner with regional teams and ecosystem partners to identify, develop, and close transformational AI data-platform deals with large enterprise customers.

Job Description

About the Role

Hammerspace is seeking a senior, customer-facing Global Enterprise AI Sales Executive to accelerate adoption of the Hammerspace NVIDIA AI Data Platform (AIDP) with large enterprise customers worldwide. This is a quota-carrying specialist role that partners with regional Account Executives, NVIDIA, OEMs, systems integrators, and strategic partners to identify, develop, and close transformational AI data-platform opportunities.

The Executive will position Hammerspace as the data foundation for enterprise AI—making distributed, unstructured data across on-premises, cloud, edge, and heterogeneous storage environments accessible, governed, searchable, and ready for AI. The focus includes Retrieval-Augmented Generation (RAG), enterprise search, agentic AI, AI copilots, knowledge management, research assistants, model development, inference, and AI data pipelines.

The successful candidate combines enterprise hunting discipline, executive-level business acumen, and credible AI-infrastructure fluency. They engage business-unit leaders, CIO/CTO organizations, AI Centers of Excellence, data and application teams, and ecosystem partners to move initiatives from discovery and business case through proof of value and production deployment. 

Key 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.

 

Required Experience

-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.

 

Preferred Background

Experience selling solutions involving one or more of the following is highly desirable:

• 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

 

The Opportunity

Enterprise AI programs often stall because the data that creates their value remains fragmented across storage systems, clouds, locations, and organizational silos. Hammerspace enables customers to bring AI to their data—without replacing existing storage infrastructure or undertaking massive data migrations. In partnership with NVIDIA and the broader ecosystem, Hammerspace helps enterprises discover, organize, access, govern, and use distributed data for the next generation of AI applications.

The Global Enterprise AI Sales Executive will turn this differentiated opportunity into a scalable global business, shaping strategic customer outcomes and establishing Hammerspace as the AI data platform of choice for the

To the extent required by state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

The anticipated base salary range for this role is $300,000-350,000 OTE.  Actual compensation will be determined by several factors including, but not limited to, level of professional/education experience, skills/abilities, internal equity, and budgetary considerations. In addition, Hammerspace offers a broad range of health plans for medical, dental, vision, life and disability. We also offer 401k plans and flexible time off. Applications will be accepted until the position is filled.

Hammerspace is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.

Notice to Recruiters and Staffing Agencies:
Agencies are hereby specifically directed not to contact Hammerspace employees directly in an attempt to present candidates. To protect the interests of all parties, Hammerspace will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Hammerspace will be considered Hammerspace property. Hammerspace will not pay a fee for any placement resulting from the receipt of an unsolicited resume. Hammerspace will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.  Agency must obtain advance written approval from Hammerspace’s recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Hammerspace will not pay a fee to any Agency that does not have such agreement in place.

 

 

About the company

Hammerspace

Hammerspace is the high-performance data platform built to simplify and optimize AI infrastructure at scale. It makes all your data immediately accessible – anywhere across on-premises and cloud environments – without copying or migrating data into new silos. By integrating with existing storage, networking, and applications, Hammerspace creates a unified, high-speed data backbone for AI, enabling organizations to accelerate every stage of the AI pipeline while eliminating data silos.

Founded

2018

Company size

201-500 employees

Industry

Data Infrastructure and Analytics

Org type

Privately Held

Headquarters

Redwood City, California

Apply Now

About the company

Hammerspace

Hammerspace is the high-performance data platform built to simplify and optimize AI infrastructure at scale. It makes all your data immediately accessible – anywhere across on-premises and cloud environments – without copying or migrating data into new silos. By integrating with existing storage, networking, and applications, Hammerspace creates a unified, high-speed data backbone for AI, enabling organizations to accelerate every stage of the AI pipeline while eliminating data silos.

Founded

2018

Company size

201-500 employees

Industry

Data Infrastructure and Analytics

Org type

Privately Held

Headquarters

Redwood City, California

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