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Hammerspace Tech Stack

Unified data platform for AI workloads across edge, data centers, and clouds

Data Infrastructure and Analytics Redwood City, California 201–500 employees Founded 2018 Privately Held

Hammerspace abstracts unstructured data across distributed infrastructure—edge sites, on-premises data centers, and public clouds—using a stack built on Kubernetes, NFS, and custom C++/Go orchestration layers. The company is shipping infrastructure-level tooling (Ansible, Terraform, NVMe-oF, InfiniBand) to solve real-time data-access bottlenecks for AI and HPC workloads. Hiring is weighted toward senior engineers (10 of 12 open roles) and sales, with channel strategy a priority—suggesting a transition from direct sales toward partner-led growth at scale.

Tech Stack 47 technologies

Core StackPython Ansible Terraform Docker Salesforce AWS Go C++ Kubernetes VMware Active Directory Debian Red Hat Enterprise Linux NFS iSCSI NVMe-oF KVM LXC CRI-O BGP RAID LVM iptables LinkedIn Sales Navigator Outreach Azure GCP InfiniBand TCP Kerberos+16 more

What Hammerspace Is Building

Challenges

  • Low-latency data access
  • Real-world friction points
  • Data access delays
  • High-performance computing delays
  • Last mile integration
  • Last mile problem
  • Retaining high-value enterprise accounts
  • Ensuring customers achieve roi
  • Ipo preparations
  • Accelerating growth and capacity

Active Projects

  • Ai/ml training pipeline acceleration
  • Bug-to-feature translation
  • Python automation frameworks
  • Ansible terraform infrastructure
  • Observability orchestration
  • Custom integration development
  • Channel strategy development
  • Partner recruitment & onboarding
  • Enablement & training
  • Custom integrations and automation scripts

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Engineering
5
Sales
4
Support
2
Executive
1

Seniority

Senior
10
Director
2

Notable leadership hires: Channel Sales Director

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About Hammerspace

Hammerspace builds a data orchestration platform that unifies unstructured data across heterogeneous storage and compute environments. The product eliminates data silos by making datasets instantly accessible to users, applications, and GPU clusters regardless of physical location—critical for enterprises running AI training pipelines and high-performance analytics across multiple sites. Founded in 2018 and based in Redwood City, the company operates in the 201–500 employee range and actively hires in the United States, United Kingdom, and United Arab Emirates. Core pain points center on latency-sensitive data access, last-mile integration friction, and customer ROI realization—operational challenges that map directly to their product roadmap around performance optimization and enablement.

HeadquartersRedwood City, California
Company Size201–500 employees
Founded2018
Hiring MarketsUnited Arab Emirates, United States, United Kingdom

Frequently Asked Questions

What tech stack does Hammerspace use?

Kubernetes, Python, Go, C++, NFS, NVMe-oF, InfiniBand, Docker, Terraform, Ansible, KVM, and RAID. Cloud integrations span AWS, Azure, and GCP. Sales stack includes Salesforce, Outreach, and LinkedIn Sales Navigator.

Where is Hammerspace headquartered?

Redwood City, California. The company was founded in 2018 and is privately held with 201–500 employees.

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How this profile is built

Hammerspace's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.