Jobs at Hammerspace

Own global enterprise sales strategy, pipeline, forecasting, and revenue execution for Hammerspace’s NVIDIA AI Data Platform. Develop and close complex AI infrastructure and data-platform opportunities with large enterprises, coordinating account executives, NVIDIA, OEMs, cloud providers, systems integrators, and partners. Lead executive discovery, business-case development, proof-of-value initiatives, negotiations, and production adoption while positioning solutions for generative AI, RAG, enterprise search, and AI infrastructure use cases.

Own the technical sales motion for Kubernetes-focused storage and data-platform opportunities. Design and run proofs of concept covering data attachment, performance, failover, and application access. Enable account sales engineers on Kubernetes discovery and container-platform POCs, collaborate with platform engineering and SRE teams, provide technical workshops, surface product gaps, and escalate blocked opportunities. The role supports specialty deals rather than owning geographic accounts, new-logo hunting, or broader Field CTO architecture.

Develop and maintain technical product and solution content, partner materials, competitive intelligence, sales enablement tools, messaging, and campaign support. Collaborate with Product Management, Engineering, Sales, Marketing, and technology partners to translate complex enterprise infrastructure, AI, storage, and high-performance computing concepts into compelling materials for technical and business audiences. Independently manage multiple projects, coordinate reviews, and support go-to-market initiatives.

Build and manage Hammerspace’s AI-powered knowledge ecosystem for the go-to-market organization. Responsibilities include designing AI workflows and retrieval experiences, developing onboarding and certification programs, evaluating AI technologies, driving adoption, automating knowledge work, and establishing governance and taxonomy. The role partners cross-functionally with Product, Engineering, Presales, Marketing, Sales, and Customer Success to improve knowledge discovery, employee readiness, onboarding speed, and time-to-productivity.

Lead Americas enterprise sales for a global data environment vendor: own quota, scale and coach a MEDDIC/MEDDPICC-driven sales organization, close complex SDS/storage deals with enterprise and channel partners, deliver predictable forecasting, and build relationships with VARs, SIs and cloud hyperscalers.