Client Director DACH

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Germany
Remote
Senior level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Drive revenue growth for AI infrastructure solutions across the DACH region. Develop strategic territory and account plans, identify enterprise opportunities, build executive relationships, and manage complex sales cycles through negotiation and closure. Partner with engineers, solutions architects, channel partners, system integrators, and distributors to deliver GPU, HPC, storage, and AI data infrastructure solutions. Present solutions, attend industry events, forecast pipeline, and expand market presence.
Summary Generated by Built In

DDN is seeking a Client Director – Strategic AI Infrastructure to drive revenue growth in the DACH region within our Artificial Intelligence business unit. This is a quota-carrying role responsible for developing strategic enterprise opportunities and expanding DDN’s presence within organizations building large-scale AI and high-performance computing environments.

 

In this role, the Account Executive will operate as a Strategic AI Client Director, partnering with enterprise customers, research institutions, and cloud organizations to deliver high-performance data infrastructure solutions that support advanced AI workloads.

The successful candidate will work closely with internal engineering teams, solutions architects, and channel partners to design and deliver complex AI infrastructure solutions supporting GPU computing, large-scale model training, and data-intensive workloads.

Key Responsibilities
  • Act as a Strategic AI Client Director within the assigned DACH region, driving adoption of DDN’s AI infrastructure solutions across enterprise and research organizations.

  • Develop and execute strategic territory and account plans targeting organizations building large-scale AI and high-performance computing environments.

  • Identify and qualify new opportunities across industries including financial services, healthcare, telecommunications, technology, research institutions, and large enterprise organizations.

  • Build trusted relationships with senior technical leaders, AI infrastructure teams, and executive decision-makers within target accounts.

  • Partner with solutions architects and engineering teams to design and present AI infrastructure and high-performance data storage solutions.

  • Deliver compelling presentations, product demonstrations, and proposals showcasing the value of DDN’s AI-optimized storage platforms.

  • Manage the full enterprise sales cycle including pipeline development, forecasting, contract negotiation, and deal closure.

  • Develop strong relationships with channel partners, system integrators, OEM partners, and distributors to expand market reach.

  • Stay current on market trends related to AI infrastructure, GPU computing, large-scale model training, and high-performance data environments.

  • Represent DDN at industry events, conferences, and customer engagements to generate new opportunities and strengthen market presence.

Required Qualifications
  • 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.

Preferred Experience
  • 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 technologies such as Kubernetes, OpenStack, and large-scale AI data center environments.

Why Join DDN

At DDN, you will work at the forefront of AI infrastructure innovation, helping organizations solve some of the most demanding data challenges in the world. Our teams collaborate across engineering, sales, and customer success to deliver cutting-edge technology that powers the next generation of AI breakthroughs.

Skills Required

  • 8+ years of experience in enterprise technology sales, preferably in 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 AI ecosystem 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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The Company
HQ: Chatsworth, CA
706 Employees
Year Founded: 1998

What We Do

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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