
201 - 500 employees
Founded 2012
🏢 Enterprise
🔧 Hardware
☁️ SaaS
💰 $125M Series E - Qumulo on 2020-07
Enterprise • Hardware • SaaS
Qumulo is an enterprise data storage company that provides a unified, distributed file-data platform for on-premises, edge, and cloud environments. Their Qumulo Data Platform (Core, Cloud Native, Exabyte-scale cloud, Stratus for zero-trust AI-native environments) plus tools like NeuralCache (predictive caching), NeuralProtect (real-time ransomware protection), NeuralSearch (storage-native search), and Qumulo Accelerators deliver scalable, high-performance file storage for AI workloads, media and entertainment, video surveillance, medical imaging, genomics, backups, VDI, and other data-intensive use cases. The platform supports multi-cloud deployments (AWS, Azure, GCP), hardware partners (Cisco, HPE, SuperMicro, Arrow), and emphasizes global namespace, centralized governance, high throughput, and scalability for enterprise AI, HPC, and distributed data workflows.
🔥 1 minute ago
🐊 Florida, Tennessee – Remote
💵 $235k - $265k / year
⏰ Full Time
🟠 Senior
⚙️ Systems Engineer
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201 - 500 employees
Founded 2012
🏢 Enterprise
🔧 Hardware
☁️ SaaS
💰 $125M Series E - Qumulo on 2020-07
Enterprise • Hardware • SaaS
Qumulo is an enterprise data storage company that provides a unified, distributed file-data platform for on-premises, edge, and cloud environments. Their Qumulo Data Platform (Core, Cloud Native, Exabyte-scale cloud, Stratus for zero-trust AI-native environments) plus tools like NeuralCache (predictive caching), NeuralProtect (real-time ransomware protection), NeuralSearch (storage-native search), and Qumulo Accelerators deliver scalable, high-performance file storage for AI workloads, media and entertainment, video surveillance, medical imaging, genomics, backups, VDI, and other data-intensive use cases. The platform supports multi-cloud deployments (AWS, Azure, GCP), hardware partners (Cisco, HPE, SuperMicro, Arrow), and emphasizes global namespace, centralized governance, high throughput, and scalability for enterprise AI, HPC, and distributed data workflows.
• Own the technical relationship on customer opportunities from discovery and demos through POCs and architecture sign-off • Partner with account teams to qualify deals and shape technical strategies for unstructured data, performance, scale, and hybrid cloud needs • Design and validate solutions for file services, backup and archive, analytics, AI/ML, and cloud-adjacent applications • Design architectures addressing multi-site collaboration, cloud integration, disaster recovery, and long-term data lifecycle • Build credibility with infrastructure teams, storage administrators, architects, and application owners • Build and maintain the technical toolkit, including reference architectures, demo content, solution briefs, and competitive positioning • Partner with Sales and customers across the full sales cycle, from discovery through proof-of-concept • Translate business and technical requirements into solutions that perform at scale across on-premises, hybrid, and cloud environments
• 6+ years in a customer-facing technical role (Systems Engineer, Solutions Architect, or Pre-Sales Engineer) at a software, storage, or technology company • Track record leading complex pre-sales engagements end to end, with results you can point to • Strong grounding in enterprise storage, file systems, and unstructured data management across on-prem and cloud, including NFS, SMB, and object • Experience supporting or selling hybrid cloud solutions, cloud integration patterns, or multi-cloud data management • Ability to translate customer requirements into practical solution designs • Strong written, verbal, and presentation skills across technical and executive audiences • Experience supporting customers across multiple industries and workload types • Background with AWS, Azure, or Google Cloud, including migration, tiering, and data protection, and/or experience with S3, Azure Files, Isilon, PowerScale, NetApp, Pure, VAST, Weka, Scality, or similar • Familiarity with containers, Kubernetes, or DevOps workflows • Understanding of data protection, ransomware recovery, compliance, and business continuity • Experience with capacity planning, performance optimization, and TCO analysis • Must answer work-visa sponsorship question for employment in the USA
• Pre-IPO stock options • Flexible time-off policy • HSA and PPO health insurance options • Dental and Vision insurance • 401(k) plan
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