Unified data platform for unstructured data across hybrid cloud and edge
Hammerspace builds a global data platform designed to unify unstructured data across edge, data centers, and cloud environments—addressing the fragmentation that slows AI workloads and analytics pipelines. The tech stack (Python, Ansible, Terraform, NFS, iSCSI, GPU support across AWS/Azure/GCP) reflects infrastructure-as-code maturity and deep cloud-native integration. Active projects show a push into AI ecosystem interoperability (MCP server integration into NVIDIA) and GPU optimization, while the sales-heavy hiring mix (6 of 15 open roles) suggests a transition from engineering-led to revenue-led growth.
Notable leadership hires: Channel Sales Director
Hammerspace is a data infrastructure company founded in 2018 and headquartered in Redwood City, California. The platform eliminates unstructured data silos by unifying disparate storage and compute resources across hybrid and multi-cloud environments, serving use cases in AI, high-performance computing, and large-scale analytics. The company operates across three continents (US, UK, UAE hiring presence) with a 201–500 person team. Core technical capabilities include parallel file system architecture, hyperscale NAS, and native GPU/cloud integration, positioning it for customers managing massive datasets across distributed infrastructure.
Python, Ansible, Terraform, NFS, iSCSI, GPU support, Linux (Debian/RHEL), with integrations across AWS, Azure, and GCP. Active Directory and Kerberos handle identity; Salesforce and Outreach power sales operations.
Headquarters is Redwood City, California. Active hiring in United States, United Kingdom, and United Arab Emirates across sales, product, engineering, support, design, and marketing functions.
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