Client Director Nordics

DDN
Sweden
On-site

Who this role is best for

Enterprise technology sales professionals with AI infrastructure experience and a focus on strategic account planning will find this remote role in the Nordics a good fit for expanding their market reach and influencing large-scale AI adoption.

Best fit for

  • Candidates with a background in enterprise storage and AI infrastructure who are comfortable with complex sales cycles
    — “managing complex enterprise sales cycles involving technical buyers and executive stakeholders”
  • Individuals experienced in building relationships with senior technical leaders and executive decision-makers
    — “Build trusted relationships with senior technical leaders, AI infrastructure teams, and executive decision-makers within target accounts.”
  • Professionals with a strong grasp of high-performance computing and data-intensive workloads
    — “designing and delivering complex AI infrastructure solutions supporting GPU computing, large-scale model training, and data-intensive workloads.”

Things to consider

  • This role requires travel within the East Coast territory despite being remote in Sweden.
    — “Ability to travel within the East Coast territory as needed.”
  • The position demands a high level of collaboration across engineering, sales, and customer success teams.
    — “Our teams collaborate across engineering, sales, and customer success to deliver cutting-edge technology.”

How to stand out

  • Highlight experience in managing full enterprise sales cycles and delivering AI infrastructure solutions.
    — “Manage the full enterprise sales cycle including pipeline development, forecasting, contract negotiation, and deal closure.”
  • Emphasize your ability to work with solutions architects and engineering teams to design AI infrastructure.
    — “Partner with solutions architects and engineering teams to design and present AI infrastructure and high-performance data storage solutions.”
  • Demonstrate your track record of meeting or exceeding sales quotas in enterprise technology environments.
    — “Proven track record of meeting or exceeding sales quotas in enterprise technology environments.”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • drive revenue growth
  • expand DDN’s presence in AI infrastructure
Typical background
8+ years of enterprise technology sales experience

Skills & requirements

Required

Enterprise SalesAI InfrastructureHPC SolutionsComplex Sales CyclesMarket Trends

Preferred

AI Ecosystem KnowledgeEnterprise Storage TechnologiesChannel Partner Management

Stack & domain

AI InfrastructureHPC SolutionsCloud PlatformsEnterprise Data Center TechnologiesKubernetesOpenstackLarge-scale AI Data Center EnvironmentsLeadershipCommunicationProblem-solvingTeamworkSalesAIHPC

About the role

Original posting from DDN via Ashby

DDN is seeking a Client Director – Strategic AI Infrastructure to drive revenue growth in the Nordics 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 Nordics 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

  • Bachelor’s degree or equivalent professional experience.
  • 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.
  • Proven track record of meeting or exceeding sales quotas in enterprise technology environments.
  • Experience managing complex enterprise sales cycles involving technical buyers and executive stakeholders.
  • Ability to travel within the East Coast territory as needed.

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.

Source: DDN careers (Ashby)

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