Client Director DACH

Job details

Work model

Remote

Salary

Not listed by source

Location

Remote - Germany

Hiring context

How this role compares at DDN

DDN has 97 live roles in MeritLog’s catalog across 9 job families, and 20 of them are in data & analytics. 21 of those listings publish a pay range, a disclosure rate of 22%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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.