Hybrid-cloud file data platform for unstructured data at scale
Qumulo builds file storage software spanning edge, data center, and cloud, and its stack shows who it sells into: media tools (Avid, DaVinci Resolve, Maya) sit beside healthcare standards (PACS, HL7, FHIR) and LIMS. Hiring is split almost evenly between engineering and sales and skews heavily senior, with projects centered on federal storage architectures, proofs of concept, and AI/HPC scale-outs, pointing to a technical, solution-led enterprise sale.
Qumulo is a privately held software company founded in 2012 and headquartered in Seattle, WA, with 201–500 employees. It develops a file data platform for managing large volumes of unstructured data across on-premises, edge, and public cloud environments, including AWS, Azure, and GCP. Target verticals visible in its work include federal government, media production, healthcare, and AI/HPC workloads. Hiring currently spans the United States, Japan, Belgium, and Cyprus, covering engineering, sales, support, and operations.
Qumulo's stack includes AWS, Azure, GCP, Kubernetes, Python, Snowflake, Redshift, dbt, Tableau, and Splunk, plus Salesforce, NetSuite, Gainsight, and Planhat on the business side.
Job-post projects target federal environments, media production workflows, and AI/HPC scale-outs, and its stack references healthcare standards such as PACS, HL7, and FHIR.
Qumulo is hiring in the United States, Japan, Belgium, and Cyprus, with openings concentrated in engineering and sales at senior levels.
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Qumulo'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.