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Dataiku

Enterprise AI platform for data science

Enterprise Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • The candidate must have 5–7 years of experience in software field sales or other relevant sales experience.
  • The candidate must have a background in selling innovation and new concepts to large enterprises.
  • The candidate must be able to develop vision alignment with prospects and customers, build alignment across different groups, and cultivate champions.
  • The candidate must be able to articulate competitive positioning.
  • The candidate must possess advanced interpersonal communication skills.
  • The candidate must be adaptable and have a growth mindset.

Responsibilities

  • Educate customers on the value of Dataiku.
  • Drive revenue through proactive outreach to existing customers.
  • Provide recommendations based on customer business needs and usage patterns.
  • Manage multiple customers simultaneously at various stages of the Dataiku buying cycle.
  • Develop a C-level vision match with prospects and customers, build alignment across different groups, and cultivate champions.
  • Handle inbound customer communication and organize or escalate billing, legal, security, and technical issues appropriately.
  • Represent the voice of the customer and collect feedback to drive continuous improvement across all areas, including product.
  • Perform other duties as assigned from time to time.

Desired Qualifications

  • Domain expertise in big data, analytics, data science, business intelligence/data warehousing, or data integration is preferred.

About the Company

Dataiku

Enterprise AI platform for data science

Dataiku provides an end-to-end platform for building and deploying AI and analytics applications across an organization. It supports no-code, low-code, and full-code workflows to let business analysts, data scientists, and IT collaborate on data preparation, model development, deployment, and governance. The platform integrates with major cloud providers (AWS, Azure, Google Cloud), data infrastructures, and legacy systems, and includes features like the Dataiku LLM Mesh, a secure gateway to large language models. Dataiku differentiates itself by offering a technologically agnostic environment that emphasizes everyday AI use, cross-team collaboration, and an enterprise-grade lifecycle from data prep to deployment and monitoring. Its goal is to help organizations turn data into sustained, scalable value—enabling widespread AI adoption, improving processes such as fraud detection, churn prevention, and supply chain optimization across hundreds of companies worldwide.

Company size
1,001-5,000
Company stage
Series F
Total funding
$846.4M
Headquarters
New York City, New York
Founded
2013

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