Client Director Nordics
ddn · Stockholm
Job description
About the role
DDN is looking for a Client Director – Strategic AI Infrastructure to lead revenue growth across the Nordics. This quota‑carrying position will partner with enterprise customers, research institutions, and cloud providers to deliver high‑performance data infrastructure for advanced AI workloads.
Key responsibilities
- Drive adoption of DDN’s AI infrastructure solutions across enterprise and research organizations in the Nordics.
- Develop and execute strategic territory and account plans targeting large‑scale AI and HPC environments.
- Identify, qualify and close new opportunities in sectors such as financial services, healthcare, telecom, technology and research.
- Build trusted relationships with senior technical leaders, AI infrastructure teams and executive decision‑makers.
- Partner with solutions architects and engineering teams to design AI‑optimized storage and high‑performance data solutions.
- Manage the full enterprise sales cycle including pipeline development, forecasting, contract negotiation and deal closure.
- Collaborate with channel partners, system integrators, OEMs and distributors to expand market reach.
- Stay current on AI infrastructure trends, GPU computing, large‑scale model training and high‑performance data environments.
Required profile
- Bachelor’s degree or equivalent professional experience.
- 8+ years of enterprise technology sales experience, preferably in storage, compute, networking or infrastructure platforms.
- Proven track record of meeting or exceeding sales quotas in enterprise technology environments.
- Experience selling AI infrastructure, HPC solutions, cloud platforms or data‑center technologies.
- Ability to manage complex sales cycles involving technical and executive stakeholders.
- Willingness to travel within the Nordics region as needed.
Required skills
- AI infrastructure and GPU‑accelerated computing.
- High‑performance storage technologies (SAN, NAS, object storage, parallel file systems).
- Familiarity with NVIDIA, Intel, AMD, Cerebras, Graphcore or Google TPU ecosystems.
- Knowledge of Kubernetes, OpenStack and large‑scale AI data‑center environments.
- Experience working with channel partners, system integrators and distributors.
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ddn
Stockholm
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