
51 - 200 employees
Founded 2018
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
Hammerspace is a provider of a high-performance data platform that unifies and orchestrates distributed unstructured data across on-premises, cloud, and edge storage into a single global namespace. It delivers a standards-based parallel file system, metadata-driven policy engine, and Tier 0 NVMe capabilities to accelerate AI, HPC, and GPU workloads, and is available as software, integrated appliances, and through cloud marketplaces for enterprise customers.
🔥 5 minutes ago
🇺🇸 United States – Remote
💵 $300k - $350k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🚰 Data Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2018
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
Hammerspace is a provider of a high-performance data platform that unifies and orchestrates distributed unstructured data across on-premises, cloud, and edge storage into a single global namespace. It delivers a standards-based parallel file system, metadata-driven policy engine, and Tier 0 NVMe capabilities to accelerate AI, HPC, and GPU workloads, and is available as software, integrated appliances, and through cloud marketplaces for enterprise customers.
• Own global strategy, qualified pipeline, forecast accuracy, and revenue execution for Enterprise AI and NVIDIA AIDP opportunities • Partner with regional Account Executives and sales leadership to prioritize accounts, identify funded AI initiatives, develop account plans, and orchestrate complex pursuits • Engage AI, data, application, and line-of-business leaders to uncover business problems, data assets, and AI use cases • Lead executive discovery, value-engineering conversations, workshops, solution briefings, and proof-of-value plans • Position the combined value of Hammerspace, NVIDIA, and ecosystem solutions against competing approaches • Guide opportunities through technical validation, RFI/RFP response, proposal development, commercial negotiation, and production adoption • Coordinate sales, technical, services, product, and partner resources • Develop joint account strategies, co-sell motions, and demand-generation initiatives with NVIDIA and ecosystem partners • Build customer business cases covering outcomes, requirements, adoption path, risks, TCO/ROI, and success measures • Maintain opportunity qualification, mutual action plans, competitive positioning, next steps, and executive-sponsor alignment in CRM • Develop global plays, qualification criteria, customer stories, and use-case messaging; enable sellers and partners • Represent Hammerspace at customer meetings, executive briefings, events, partner engagements, and conferences • Communicate market feedback to product, marketing, and leadership teams • Establish Hammerspace as the AI data platform of choice for enterprise AI programs
• Must be based in the US • 10+ years of enterprise technology sales, business development, or specialist-sales experience • Sustained record of creating pipeline, closing complex opportunities, and exceeding revenue objectives • 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 • Ability to originate and advance new AI initiatives from discovery through proof of concept or proof of value, commercial close, and production deployment • Strong working knowledge of GenAI and LLMs, RAG, vector databases, embeddings, enterprise search, agentic AI, inference, model development, data pipelines, GPUs, and AI infrastructure • Success navigating multi-stakeholder sales cycles involving business sponsors, technical evaluators, procurement, security, legal, and executive decision-makers • Ability to translate technical capabilities into measurable business value • Experience collaborating in a matrixed specialist-sales model with Account Executives, sales engineers, professional services, marketing, product teams, and channel or alliance partners • Ability to operate independently across global geographies and travel internationally as required • Preferred: experience with NVIDIA Enterprise AI technologies and ecosystem, Generative AI/LLMs/RAG, AI infrastructure/GPU computing/HPC/AI storage, enterprise data platforms and search, joint go-to-market development, and structured enterprise sales methodologies
• Health plans for medical, dental, vision, life and disability • 401k plans • Flexible time off
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