Global Enterprise AI Sales Engineer – NVIDIA AI Data Platform

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in CA
Remote
250K-300K Annually
Senior level
Big Data
The Role
Own the technical sales motion for NVIDIA-focused enterprise AI infrastructure deals. Lead discovery, architecture, proof-of-concept design and execution, technical closes, partner and field SE enablement, troubleshooting, escalation, customer workshops, and product feedback. The role requires expertise in NVIDIA systems, storage, data platforms, Linux, parallel file environments, GPU clusters, and AI pipelines, with Bay Area availability for on-site partner or customer sessions.
Summary Generated by Built In

Hammerspace is a fast-growing software company building the data foundation for the AI era. We are changing how organizations access, move, and use unstructured data by eliminating data silos and creating a single, high-performance data environment across sites, clouds, and storage systems. This ensures AI, GPUs, HPC, and data-intensive applications can operate at full speed.

 

Our technology combines a high-performance parallel global file system with intelligent data orchestration to make data available wherever compute needs it, without disruptive migrations or infrastructure lock-in. The result is faster AI pipelines, higher GPU utilization, quicker time-to-insight, and a radically simpler way for researchers, developers, and enterprises to put their data to work.

Hammerspace is seeking a senior, customer-facing Global Enterprise AI Sales Engineer, Working hand in hand with the Global Enterprise Sales Executive, you will accelerate the adoption of the Hammerspace NVIDIA AI Data Platform (AIDP) with large enterprise customers worldwide.

 

This individual 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.

 

You will own the technical work on those deals: POCs, the architecture that sits on NVIDIA systems, and the software stack where it meets the Hammerspace data path.

 



What You Will Do

 

  • Technical Motion: Own the technical motion on NVIDIA-path deals and partner-SE work (discovery, architecture on NVIDIA systems, POC design/execution, and the technical close).
  • On-Site Presence: Be present in the Bay Area when a partner, customer, or joint session actually needs a person on site.
  • SE Enablement: Enable Hammerspace field SEs and NVIDIA partner SEs to run a routine NVIDIA-path POC without a Field CTO.
  • Direct Collaboration: Sit with NVIDIA SEs and architects directly. No translator required.
  • Problem Triage: Know when a problem is hardware, software, or commercial—and pull the right owner.
  • Escalation Support: Bring in hardware-partner architecture, HPC architecture, and the Director when the work is stuck.
  • Product Feedback: Surface real NVIDIA-boundary gaps (compatibility, kernel, whitelist, and performance issues) to Product the same week they show up in the field.
  • Daily Reporting: Flag stuck POCs, severity-level problems, and coverage holes to the Director the same day.
  • Technical Enablement: Deliver technical presentations, workshops, and hands-on enablement that field and partner SEs can reuse.

 

What Good Looks Like in Six Months

  • NVIDIA-path deals in flight have a named specialist.
  • Routine NVIDIA technical work does not consume a Field CTO.
  • Bay Area partners can run a routine POC without flying a Field CTO in.
  • Stuck POCs, compatibility/kernel blocks, severity-level issues, and coverage holes reach the Director the same day.



What You Bring

 

Required Qualifications

  • NVIDIA Infrastructure Experience: Proven experience as the technical owner on NVIDIA-path infrastructure deals (GPU systems, partner SEs, and joint POCs).
  • Architect Collaboration: Ability to sit with NVIDIA SEs and architects without a translator.
  • POC Execution: Ability to run a POC end-to-end and teach a partner or field SE to do the same.
  • Professional Experience: Five or more years in pre-sales, solutions engineering, or a comparable technical sales role in storage, data management, or accelerated computing infrastructure.
  • Technical Core: Working knowledge of Linux, NFS / pNFS or parallel file environments, and how a data platform attaches to GPU clusters.
  • Location: Bay Area
  • Communication: Clear written and verbal communication with partner SEs, customer architects, and Hammerspace field teams.

Nice to Have

  • Experience working the NVIDIA partner motion at a storage, data, or systems company.
  • Innate understanding of when a problem is iron vs. software vs. commercial.
  • Familiarity with NVIDIA networking and software stack components as they touch the data path (drivers, runtimes, fabrics, scheduling).
  • Experience with AI / GPU training and inference pipelines, and with AWS, Azure, or Google Cloud where those clusters land.
  • Knowledge of current storage architectures (NAS, SAN, object, parallel file) and of containers / Kubernetes environments.

 

You do not need to match every bullet. If you have done this work under another title, apply. We hire for the work, not a pedigree.



What This Role Does NOT Own

  • The Field CTO seat.
  • Worldwide hardware-partner architecture.
  • HPC architecture.
  • The NVIDIA commercial relationship or partner program (managed by Partner Enablement).
  • Product narrative and core presales content (managed by Presales).
  • New-logo hunting as a primary motion.

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 $250,000-300,000OTE.  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.

 

 

Skills Required

  • Proven experience as the technical owner on NVIDIA-path infrastructure deals involving GPU systems, partner sales engineers, and joint proofs of concept
  • Ability to collaborate directly with NVIDIA sales engineers and architects
  • Ability to run proofs of concept end-to-end and teach partner or field sales engineers to do the same
  • Five or more years of experience in pre-sales, solutions engineering, or comparable technical sales roles in storage, data management, or accelerated computing infrastructure
  • Working knowledge of Linux, NFS, pNFS or parallel file environments, and how data platforms attach to GPU clusters
  • Availability to work in the Bay Area
  • Clear written and verbal communication with partner sales engineers, customer architects, and field teams
  • Experience with the NVIDIA partner motion at a storage, data, or systems company
  • Understanding of distinguishing hardware, software, and commercial problems
  • Familiarity with NVIDIA networking and software stack components, including drivers, runtimes, fabrics, and scheduling
  • Experience with AI or GPU training and inference pipelines
  • Experience with AWS, Azure, or Google Cloud
  • Knowledge of NAS, SAN, object storage, and parallel file architectures
  • Knowledge of container and Kubernetes environments
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The Company
HQ: San Mateo, CA

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