
1001 - 5000 employees
🤖 Artificial Intelligence
🔧 Hardware
💰 $300M GROWTH EQUITY VC on 2025-01
Artificial Intelligence • Hardware
DDN is a global provider of high-performance data infrastructure and an advanced data intelligence platform built for demanding AI and GPU workloads. DDN delivers purpose-built hardware (e. g. , AI400X systems) and software solutions (EXAScaler, Infinia, Data Intelligence Platform) to power AI factories, sovereign AI, hyperscalers, and supercomputing environments, optimizing GPU utilization and end-to-end AI pipelines. The company serves enterprises and cloud providers across industries including automotive, financial services, life sciences, media & entertainment, higher education, and the public sector, emphasizing data sovereignty, multi-tenant cloud deployments, and performance at scale.
🔥 10 minutes ago
Where this job comes from
Posted on DDN's careers page, not through a job board
First seen by Remote Rocketship 10 minutes ago

1001 - 5000 employees
🤖 Artificial Intelligence
🔧 Hardware
💰 $300M GROWTH EQUITY VC on 2025-01
Artificial Intelligence • Hardware
DDN is a global provider of high-performance data infrastructure and an advanced data intelligence platform built for demanding AI and GPU workloads. DDN delivers purpose-built hardware (e. g. , AI400X systems) and software solutions (EXAScaler, Infinia, Data Intelligence Platform) to power AI factories, sovereign AI, hyperscalers, and supercomputing environments, optimizing GPU utilization and end-to-end AI pipelines. The company serves enterprises and cloud providers across industries including automotive, financial services, life sciences, media & entertainment, higher education, and the public sector, emphasizing data sovereignty, multi-tenant cloud deployments, and performance at scale.
• Drive revenue growth in the DACH region within DDN’s Artificial Intelligence business unit • Develop strategic enterprise opportunities and expand DDN’s presence within organizations building large-scale AI and high-performance computing environments • Partner with enterprise customers, research institutions, and cloud organizations to deliver high-performance data infrastructure solutions • Work with engineering teams, solutions architects, and channel partners to design and deliver complex AI infrastructure solutions • Drive adoption of DDN’s AI infrastructure solutions across enterprise and research organizations • Develop and execute strategic territory and account plans • Identify and qualify new opportunities across financial services, healthcare, telecommunications, technology, research institutions, and large enterprises • Build relationships with senior technical leaders, AI infrastructure teams, and executive decision-makers • Design and present AI infrastructure and high-performance data storage solutions • Deliver presentations, product demonstrations, and proposals • Manage the full enterprise sales cycle, including pipeline development, forecasting, contract negotiation, and deal closure • Develop relationships with channel partners, system integrators, OEM partners, and distributors • Stay current on AI infrastructure, GPU computing, large-scale model training, and high-performance data environment trends • Represent DDN at industry events, conferences, and customer engagements
• 8+ years of experience in enterprise technology sales, preferably within storage, compute, networking, or infrastructure platforms • Demonstrated experience selling AI infrastructure, HPC solutions, cloud platforms, or enterprise data center technologies • Experience managing complex enterprise sales cycles involving technical buyers and executive stakeholders • Experience selling AI infrastructure, GPU clusters, or high-performance computing platforms • Familiarity with the AI ecosystem including technologies from NVIDIA, Intel, AMD, Cerebras, Graphcore, or Google TPU • Knowledge of enterprise storage technologies including SAN, NAS, object storage, and parallel file systems • Experience working with channel partners, system integrators, and distributor ecosystems • Familiarity with Kubernetes, OpenStack, and large-scale AI data center environments
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