Full-Time
Software platform for unstructured data management
$175k - $265k/yr
Los Angeles, CA, USA
Remote
Travel up to 20% across the Southwestern United States.
Bachelor's
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Qumulo provides a software platform to store, manage, and curate unstructured data at exabyte scale across edge, core, and cloud environments. The product is used on a subscription basis, deployed in multiple locations, and often complemented by professional services to help implement and optimize the solution. It differentiates itself by handling massive unstructured data across diverse environments in a single system and by earning Gartner recognition and a high customer satisfaction score. The goal is to help industries like healthcare, media, research, and government store, access, and curate large volumes of data generated by IoT, surveillance, and high‑resolution content.
Company Size
501-1,000
Company Stage
Series E
Total Funding
$347.3M
Headquarters
Seattle, Washington
Founded
2012
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Healthcare plan paid 100% for employees
Flexible/unlimited paid time off
Transportation subsidy for office commuters
Cell phone service reimbursement
401(k) and Roth retirement planning with Fidelity
Stock option grants offered to all full-time employees
Parental leave (20 weeks for birthing mothers, 8 weeks for adoption or non-birthing parents)
Qumulo announces NeuralSearch and ISV partnership with Databricks. Qumulo partners with Databricks to unify governed access to data for AI and analytics by integrating OpenSharing with Qumulo NeuralSearch. Qumulo, announced a partnership with Databricks, integrating Qumulo NeuralSearch with Databricks OpenSharing, the first open protocol to cover agent skills, AI models, and unstructured data.Customers can discover, query, and collaborate on tabular data across core, cloud, and edge environments, without replicating the data or adding operational complexity. The result: a single, geo-distributed view of enterprise data via Unity Catalog that spans locations, regions, and cloud providers. "By combining Qumulo NeuralSearch with [Databricks] OpenSharing, we're enabling customers to securely discover, query, and collaborate on data across data centers, edge locations, and public clouds, in real time, without moving the data itself." NeuralSearch is Qumulo's storage-native search platform. It turns unstructured data into searchable intelligence using SQL, natural language, and semantic search with no crawlers or third-party indexing required. NeuralSearch is built into Qumulo's Data Platform, including Cloud Data Fabric. With OpenSharing and Qumulo, users can discover and access datasets across on-premises, remote locations, and cloud regions and providers without replicating data. For Chief Data Officers and VPs of Data Analytics, governing massive unstructured data sets while accelerating time-to-value for AI is a critical challenge. This integration empowers organizations to fuel Generative AI, Retrieval-Augmented gen (RAG) applications, and advanced analytics. By securely connecting Databricks compute directly to Qumulo's edge-to-core storage framework, data teams can drastically reduce the latency traditionally associated with geo-distributed workloads, accelerating time-to-insights without the burden of constant data replication. "Organizations can no longer afford the cost, complexity, and delays of copying massive datasets across environments just to support AI and analytics," said Brandon Whitelaw, SVP and head, product, Qumulo. "By combining Qumulo NeuralSearch with OpenSharing, we're enabling customers to securely discover, query, and collaborate on data across data centers, edge locations, and public clouds, in real time, without moving the data itself. Together, we're helping organizations accelerate AI initiatives, simplify governance, and unlock faster insights from distributed data, all while maintaining a single source of truth." As enterprises scale agentic AI, AI applications, and advanced analytics, open access to governed data across distributed environments is becoming increasingly critical. By combining Qumulo's distributed data capabilities with the Databricks Data + AI Platform, customers can build and scale AI workloads on trusted, accessible data without creating additional silos. Marked by successful market and technical validation of the Qumulo Data Platform, the Databricks partnership allows Qumulo to support a massive market by offering an open architecture that avoids vendor lock-in for customers in verticals such as financial services, life sciences, and manufacturing. The collaboration enables seamless data flows between storage and advanced AI analytics tools across all major cloud providers. The key strategic advantages for joint customers include: * Open access to data across the enterprise: Qumulo leverages distinct technical advantages over rivals, notably its robust multi-format support. It seamlessly handles open table formats like Apache Iceberg and Delta Lake, alongside their underlying file formats like Parquet, simultaneously. It also serves as a unified file and object platform, being the first to seamlessly project data across multi-region and multi-cloud environments * Unified Governance for AI: By integrating with OpenSharing, Qumulo brings globally distributed data under Databricks Unity Catalog, ensuring centralized governance, security, and compliance across the entire data lifecycle * Workflow Acceleration: By allowing data to flow smoothly from Qumulo through Databricks for transformation, the partnership accelerates the "time-to-data-product" and reduces data cleansing overhead "Customers consistently tell us they want the freedom to leverage their enterprise data across a broad ecosystem without being constrained by proprietary architectures," said Stephen Orban, SVP, product ecosystem & partnerships, Databricks. "Our partnership with Qumulo reflects the commitment from Databricks to open platforms by enabling a non-proprietary, single source of truth for enterprise data, giving customers the architectural flexibility to seamlessly use their data across tools and environments." Read also: Powered by open source OpenSharing, our new storage partner ecosystem brings Databricks Data Intelligence Platform directly to your on-premises and hybrid infrastructure - without copying a single byte Top News By Philippe Nicolas June 24, 2026 | News A new open standard for sharing of data and AI assets across platforms and organizations Enabling enterprises to seamlessly extend file workloads into the cloud instantly, avoiding multi-month hardware lead times without disruptive migration or application refactoring And increases GPU utilization with a 90%+ more effective, practical approach by eliminating staging delays, idle GPU costs, and the data-gravity constraints that slow AI In honor of National Cancer Research Month, Qumulo spotlights research into cancer treatment breakthroughs
Qumulo pals up with Databricks. Chris Mellor STORAGE EDITOR Blocks & Files editor Published fri 17 Jul 2026 // 18:31 UTC Qumulo has integrated its NeuralSearch capability with Databricks OpenSharing so that Databricks users and agents get access to Qumulo's stores when searching the Databrick's repository. Databricks launched OpenSharing in June, saying it was an open, vendor-neutral protocol for sharing AI assets, including Agent Skills, AI models, and unstructured data, across organisations and platforms. It builds on Databricks' Delta Sharing, by adding support for Iceberg IRC (Iceberg REST Catalog) clients, expanding data providers' reach to more recipients. Customers can access on-premises or private-cloud assets via OpenSharing, including through storage partners such as Everpure, MinIO, Qumulo and VAST Data. Qumulo has now launched its contribution to OpenSharing. NeuralSearch is its storage-native search platform, turning unstructured data into searchable intelligence using SQL, natural language, and semantic search with no crawlers or third-party indexing required. NeuralSearch is built into Qumulo's Data Platform, including Cloud Data Fabric. With OpenSharing and Qumulo, customers get a single, geo-distributed view of enterprise data via Unity Catalog that spans locations, regions, and cloud providers. They can can discover, query, and collaborate on tabular data. Brandon Whitelaw, SVP and Head of Product at Qumulo, said: "Organizations can no longer afford the cost, complexity, and delays of copying massive datasets across environments just to support AI and analytics. By combining Qumulo NeuralSearch with OpenSharing, we're enabling customers to securely discover, query, and collaborate on data across data centers, edge locations, and public clouds, in real time, without moving the data itself. Together, we're helping organizations accelerate AI initiatives, simplify governance, and unlock faster insights from distributed data, all while maintaining a single source of truth." The two companies say that, by securely connecting Databricks compute directly to Qumulo's edge-to-core storage framework, data teams can drastically reduce the latency traditionally associated with geo-distributed workloads, due to constant data replication. Qumulo says the Databricks partnership allows it to support a massive market by offering an open architecture that avoids vendor lock-in for customers in verticals such as financial services, life sciences, and manufacturing. The collaboration enables seamless data flows between storage and AI analytics tools across all major cloud providers. The key strategic advantages for joint customers include: * Open access to data across the enterprise: Qumulo claims technical advantages over rivals, such as its robust multi-format support for open table formats like Apache Iceberg and Delta Lake, alongside underlying file formats like Parquet. It serves as a unified file and object platform, saying it's "the first to seamlessly project data across multi-region and multi-cloud environments." * Unified Governance for AI: Qumulo brings globally distributed data under Databricks Unity Catalog, ensuring centralized governance, security, and compliance across the entire data lifecycle. * Workflow Acceleration: By allowing data to flow smoothly from Qumulo through Databricks, the partnership accelerates the "time-to-data-product" and reduces data cleansing overhead. Stephen Orban, SVP, Product Ecosystem and Partnerships at Databricks, said: "Customers consistently tell us they want the freedom to leverage their enterprise data across a broad ecosystem without being constrained by proprietary architectures. Our partnership with Qumulo reflects the commitment from Databricks to open platforms by enabling a non-proprietary, single source of truth for enterprise data, giving customers the architectural flexibility to seamlessly use their data across tools and environments." The two companies say that, as enterprises scale agentic AI, AI applications, and advanced analytics, open access to governed data across distributed environments is becoming increasingly critical. That's why Databricks instituted its OpenSharing facility and Qumulo is one of Databricks' storage partner joining in. MinIO is already there, a blog saying its "AIStor Table Sharing builds the open OpenSharing protocol directly into the data platform." Orban said: "By natively integrating OpenSharing, MinIO enables enterprises to securely connect on-premises data to the Databricks Data Intelligence Platform without complex replication, accelerating time-to-insight for hybrid workloads." Blocks & Files understand that Everpure's OpenSharing integration is in private preview as is VAST Data's integration. Databricks has also secured commitments from Cohesity, Commvault, HPE, NetApp, Nutanix, Rubrik, and others to build native integrations by the end of 2026 Bootnote. Databricks Delta Sharing is a zero-copy way of sharing third-party data with customers using its own data. Unity Catalog is Databricks' central metadata management facility.
Qumulo has partnered with Databricks to integrate its NeuralSearch platform with Databricks OpenSharing protocol. The collaboration enables customers to discover, query, and collaborate on data across core, cloud, and edge environments without replicating it. NeuralSearch is Qumulo's storage-native search platform that transforms unstructured data into searchable intelligence using SQL, natural language, and semantic search. The integration allows users to access datasets across on-premises locations, remote sites, and cloud regions without data replication. The partnership addresses challenges for Chief Data Officers managing massive unstructured datasets whilst accelerating AI time-to-value. It supports Generative AI, Retrieval-Augmented Generation applications, and advanced analytics by connecting Databricks compute directly to Qumulo's edge-to-core storage framework. The collaboration provides unified governance through Databricks Unity Catalog and supports open table formats including Apache Iceberg and Delta Lake.
Qumulo has announced an expanded collaboration with Microsoft to address the global hardware supply chain crisis affecting enterprise storage. The partnership, unveiled at Microsoft Build, introduces Azure Native Qumulo (ANQ) to help organisations bypass hardware shortages by leveraging Microsoft Azure for storage without re-platforming applications. As hyperscalers absorb most global DRAM and NVMe production, enterprises face a "Silicon Squeeze" with surging prices and extended lead times. ANQ enables customers to burst capacity to Azure immediately, avoiding capital expenses and hardware delays whilst retaining enterprise NAS capabilities. The collaboration includes integration with Azure Blob's smart tiering for automated cost optimisation and Qumulo's SLURP tool for rapid migration from legacy systems. ANQ also offers zero-copy architecture integrating with Microsoft Foundry, Fabric and Copilot, and includes NeuralProtect for real-time ransomware defence.
Qumulo launches NeuralProtect(TM) to deliver real-time ai-driven ransomware detection and prevention. May 28, 2026 SEATTLE, May 28, 2026 - Qumulo, the Accelerated Data company, today announced Qumulo NeuralProtect(TM), a powerful ransomware-resilience solution built to protect data at the storage layer itself, detecting and stopping threats before data is encrypted, corrupted, or lost. Integrated directly into the Qumulo Data Platform, NeuralProtect inspects every file at the precise point-of-write using a series of AI-driven analysis models to detect both known and zero-day threats, instantly isolating malicious activity and enabling rapid recovery. NeuralProtect shifts ransomware protection from reactive recovery to proactive prevention. While NeuralProtect can run in any Qumulo environment, it is even more compelling when combined with Cisco Hypershield and Splunk. Together, Qumulo NeuralProtect and Cisco Hypershield enable an instant data-to-network response, quarantining malicious actors across the entire network. Operating with an industry-leading false-positive rate of less than 0.01%, this integrated system reduces detection-to-mitigation time to seconds. It isolates compromised systems and instantly notifies Splunk of the specific client, the malware variant, and the exact point of intrusion, preventing further infection and protecting crucial data for forensics and response resolution. "Ransomware doesn't target your backups first; it targets your live data. NeuralProtect is the first solution built to stop attacks at exactly that point, at the data layer, before a single file is compromised, avoiding costly and lengthy recoveries," said Kiran Bhageshpur, Qumulo CTO. "Combined with Cisco Hypershield and Splunk, we've built what the industry has long needed: a coordinated cybersecurity architecture that spans storage, infrastructure, and security operations, so enterprises can respond to known and emerging threats without sacrificing business continuity." Deep File Inspection: Zero-Day Prevention at User-Space Speed Traditional protection strategies, such as backup platforms, endpoint security, and entropy-based storage detection, remain fundamentally reactive. They rely on indirect anomaly detection rather than guarding live enterprise data where the real risk exists. NeuralProtect performs Deep File Inspection on every file as it is written, neutralizing threats instantly before data can be lost or encrypted, all without any performance impact. NeuralProtect's detection engine combines multiple AI models to identify every category of threat: * Deterministic AI model: Identifies known ransomware and malware variants with 100% accuracy * Statistical AI model: Detects zero-day and novel attacks with greater than 95% success * Temporal AI model: Surfaces stealth campaigns and slow-moving, partial-encryption attacks * BitDefender Virus Detection Engine: Adds a proven commercial antivirus layer for comprehensive coverage When a threat is detected, NeuralProtect can respond autonomously and immediately. The offending user session is terminated, the user or IP address is blocked, defensive snapshots are created, and infected data is quarantined, thereby stopping the spread of attacks and accelerating recovery to a clean state. Coordinated Storage and Network Defense with Cisco Hypershield NeuralProtect is deeply integrated with Cisco Hypershield to extend protection beyond the storage layer into coordinated, enterprise-wide threat containment. When NeuralProtect detects an attack, the joint solution triggers automated network quarantine, distributed enforcement across workloads and clouds, and rapid incident isolation within seconds. Telemetry from Qumulo and Cisco flows directly into Splunk via OpenTelemetry integration, giving security operations teams unified visibility and faster, more informed incident response across the entire infrastructure stack. Qumulo and Cisco unify storage intelligence and network enforcement to deliver a coordinated ransomware response that no single vendor can provide on its own. Availability Qumulo NeuralProtect is now available for enterprise customers running Qumulo on-premises and in hybrid cloud environments, including Azure Native Qumulo. To learn more about all of Qumulo's announcements at Cisco Live, please read its executive blogs here and here. About Qumulo Qumulo is the only seven-time Leader in the Gartner Magic Quadrant for Distributed File and Object Storage and the foremost provider of cloud data platforms. With exabytes under management and more than 1,000 production customers, Qumulo is trusted by Fortune 500 companies and global enterprises to manage, store, curate, and protect their data, unlocking new possibilities and driving innovation across diverse industries. For more information, visit www.qumulo.com. Press Information: Alexa Rey [email protected]