
51 - 200 employees
Founded 2018
âď¸ SaaS
đ˘ Enterprise
đ¤ Artificial Intelligence
SaaS ⢠Enterprise ⢠Artificial Intelligence
Hammerspace is a provider of a high-performance data platform that unifies and orchestrates distributed unstructured data across on-premises, cloud, and edge storage into a single global namespace. It delivers a standards-based parallel file system, metadata-driven policy engine, and Tier 0 NVMe capabilities to accelerate AI, HPC, and GPU workloads, and is available as software, integrated appliances, and through cloud marketplaces for enterprise customers.
đ September 2
đşđ¸ United States â Remote
â° Full Time
đ Senior
đ¸ Sales Engineer
đŚ H1B Visa Sponsor
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51 - 200 employees
Founded 2018
âď¸ SaaS
đ˘ Enterprise
đ¤ Artificial Intelligence
SaaS ⢠Enterprise ⢠Artificial Intelligence
Hammerspace is a provider of a high-performance data platform that unifies and orchestrates distributed unstructured data across on-premises, cloud, and edge storage into a single global namespace. It delivers a standards-based parallel file system, metadata-driven policy engine, and Tier 0 NVMe capabilities to accelerate AI, HPC, and GPU workloads, and is available as software, integrated appliances, and through cloud marketplaces for enterprise customers.
⢠Own the technical work for Kubernetes deals, including operators, CSI, storage classes, and the Hammerspace data path inside the cluster ⢠Enable account SEs to conduct first-pass Kubernetes discovery and routine container-platform POCs without a Field CTO ⢠Design and run Kubernetes POCs proving attach, performance, failover, and application consumption of the namespace ⢠Work with platform engineering, SRE, and cloud-native architecture teams ⢠Surface Kubernetes-boundary gaps to Product, including CSI, operator, upgrade, multi-cluster, and performance issues ⢠Escalate stuck POCs, severity-level problems, and coverage holes to the Director the same day ⢠Deliver reusable technical presentations, workshops, and hands-on enablement for field SEs ⢠Determine when to complete work independently and when to involve a Field CTO, cloud team, or Director ⢠Establish a named specialist and repeatable POC path for Kubernetes motions ⢠Reduce reliance on Field CTOs for routine container-platform technical work
⢠Technical ownership of Kubernetes-shaped storage or data-platform deals ⢠Ability to discuss CSI, operators, storage classes, and the actual data path ⢠Ability to run POCs proving attach, performance, failover, and application consumption of the namespace ⢠Experience working with platform teams, including platform engineering, SRE, and cloud-native architects ⢠Five or more years in pre-sales, solutions engineering, or a comparable technical sales role in storage, data management, or cloud-native infrastructure ⢠Working knowledge of Linux, containers, and how a data platform attaches to Kubernetes ⢠Clear written and verbal communication with platform engineers, customer architects, and field teams ⢠Nice to have: OpenShift, EKS, GKE, AKS, or enterprise-scale on-prem Kubernetes ⢠Nice to have: experience teaching other SEs this motion ⢠Nice to have: GPU operator/device-plugin environments and AI pipelines running on Kubernetes ⢠Nice to have: CSI sidecars, snapshot/clone workflows, RWX file workloads, and object access from the cluster ⢠Nice to have: current storage architectures (NAS, SAN, object, parallel file) and multi-cluster or hybrid-cloud operations
⢠Broad range of health plans for medical, dental, vision, life and disability ⢠401k plans ⢠Flexible time off
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