Teams at Hammerspace

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.

Serve as a technical expert throughout enterprise sales cycles for Hammerspace’s data platform. Partner with sales teams, account managers, specialists, and channel partners to understand customer needs, design storage and cloud solutions, lead evaluations and benchmarks, deliver technical presentations, respond to RFPs/RFQs/RFIs, and secure technical wins. Provide expertise in distributed storage, file systems, networking, Linux, cloud-native architectures, containers, and competitive storage technologies while supporting new business and revenue growth.

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.