Teams at Hammerspace

Lead quality assurance for storage and filesystem features, designing test strategies, executing system, stress, regression, and cross-functional testing, and developing automation. Collaborate with developers, tools teams, and customer support to improve testability, reproduce issues, and debug defects. The role requires expertise in NFS, SMB, NAS filesystems, Linux, Windows, VMware, shell scripting, Python, packet capture, test infrastructure, and release management.

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.