
Client Director – DACH
Posted Oct 29

Posted Oct 29
This is a fully remote position, open to applicants in Germany.
• Propel revenue expansion in the DACH region within DDN’s Artificial Intelligence business unit.
• Create strategic enterprise opportunities and enhance DDN’s footprint among organizations developing large-scale AI and high-performance computing environments.
• Collaborate with enterprise clients, research institutions, and cloud organizations to deliver high-performance data infrastructure solutions.
• Partner with engineering teams, solutions architects, and channel partners to design and implement intricate AI infrastructure solutions.
• Encourage the adoption of DDN’s AI infrastructure solutions among enterprise and research organizations.
• Formulate and execute strategic territory and account plans.
• Identify and assess new opportunities across sectors such as financial services, healthcare, telecommunications, technology, research institutions, and large enterprises.
• Cultivate relationships with senior technical leaders, AI infrastructure teams, and executive decision-makers.
• Design and present AI infrastructure and high-performance data storage solutions.
• Conduct presentations, product demonstrations, and proposals.
• Oversee the complete enterprise sales cycle, including pipeline development, forecasting, contract negotiation, and deal closure.
• Build relationships with channel partners, system integrators, OEM partners, and distributors.
• Stay informed about trends in AI infrastructure, GPU computing, large-scale model training, and high-performance data environments.
• Represent DDN at industry events, conferences, and customer engagements.
• Over 8 years of experience in enterprise technology sales, ideally within storage, compute, networking, or infrastructure platforms.
• Proven experience in selling AI infrastructure, HPC solutions, cloud platforms, or enterprise data center technologies.
• Experience managing intricate enterprise sales cycles involving technical buyers and executive stakeholders.
• Background in selling AI infrastructure, GPU clusters, or high-performance computing platforms.
• Understanding of the AI ecosystem, including technologies from NVIDIA, Intel, AMD, Cerebras, Graphcore, or Google TPU.
• Familiarity with enterprise storage technologies such as SAN, NAS, object storage, and parallel file systems.
• Experience collaborating with channel partners, system integrators, and distributor ecosystems.
• Knowledge of Kubernetes, OpenStack, and large-scale AI data center environments.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for professional development and growth.
• Flexible work arrangements and a supportive work environment.
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