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DDN

Client Director

DDN

United States · Jornada completa

Sé el primero en postularte

Experiencia
5+ yrs
Salario
Vacantes
1
Al corriente
hace 13 horas
Work mode
En la oficina
Educación
Bachelor’s degree
Eligibility
Professionals with enterprise technology sales experience and a background in manufacturing-focused selling are well suited for this role. Candidates should be comfortable working with senior stakeholders, managing complex sales processes, and operating in AI, storage, infrastructure, or data solut…
Resume
Required to apply

Where you'll work

Descripción del trabajo

About the role

This position offers the chance to join a company that has spent more than twenty years advancing AI and high-performance data storage. The organization is a worldwide leader in powering some of the most demanding AI data centers, with work spanning life sciences, healthcare, financial services, autonomous vehicles, government, academia, research, and manufacturing.

The business is recognized for its leadership in AI and multi-cloud data management at scale, with a platform built to accelerate AI workloads and help organizations get greater value from their data. It is known for strong performance, reliability, and scalability across complex, data-heavy environments.

This role is focused on helping the company continue its growth and impact in AI and data storage by building customer relationships, driving new business, and supporting manufacturing clients through digital transformation and advanced analytics initiatives.

Role summary

The Client Director will own growth across assigned manufacturing accounts and territory, with an emphasis on automotive, industrial, aerospace, and smart factory organizations. The role involves shaping account strategy, developing opportunities, and bringing the company’s storage and AI data platform offerings to customers operating in Industry 4.0 environments.

Responsibilities

  • Take ownership of revenue growth across assigned manufacturing accounts and territory.
  • Create and carry out account strategies for automotive, industrial, and advanced manufacturing customers.
  • Source, evaluate, and close new opportunities that fit the company’s AI and data platform solutions.
  • Develop trusted relationships with senior stakeholders such as CIOs, CTOs, data leaders, and engineering teams.
  • Work with pre-sales engineers and solution architects to design solutions tailored to customer needs.
  • Manage full sales cycles, including prospecting, negotiation, and deal closure.
  • Partner with marketing, product, and customer success teams to support strong customer outcomes.
  • Keep CRM data current and maintain reliable pipeline tracking and forecasting.

Requirements

  • A bachelor’s degree or equivalent practical experience.
  • At least 5 years of enterprise technology sales experience, ideally in storage, infrastructure, or data solutions.
  • Experience selling into manufacturing sectors such as automotive, aerospace, industrial, or smart manufacturing.
  • A consistent record of meeting or surpassing quota in complex, consultative sales settings.
  • Solid understanding of enterprise IT, data infrastructure, or AI/ML ecosystems.
  • Strong communication, negotiation, and executive presentation abilities.
  • Capability to manage lengthy sales cycles and multiple decision-makers.

Preferred background

  • Exposure to high-performance computing, AI infrastructure, or large-scale data environments.
  • Existing relationships within manufacturing accounts.
  • Familiarity with Industry 4.0, IoT, digital twins, or advanced analytics use cases.

Additional information

The company values professionals who demonstrate the following traits: being self-directed and proactive, consistently focused on achievement, systematic in solving problems, and innovative in improving business processes and finding creative solutions.

Equal opportunity statement

The employer provides equal employment opportunity and affirmative action. All qualified candidates are considered without regard to race, color, religion, gender, gender identity, gender expression, transgender status, sex stereotyping, sexual orientation, national origin, disability, protected veteran status, or any other legally protected characteristic.

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