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Core Account Executive - Vietnam

Databricks· Sales
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Hybrid (Vietnam)full-timePosted 1w ago

About the role

Enterprise Account Executive responsible for selling to enterprise accounts in Vietnam, guiding deals, communicating value of Databricks platform, and managing new and existing accounts.

Responsibilities

  • Present a territory plan within the first 90 days
  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and existing accounts
  • Identify and close quick, small wins while managing longer, complex sales cycles
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for customers
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark
  • Ensure 100% satisfaction among all customers
  • Prioritize opportunities and apply appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts.

Qualifications

  • Field sales experience within big data, Cloud, and SaaS sales
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
  • Success in closing new accounts while working on existing accounts
  • Understanding of Spark and big data is preferable
  • Proficiency in Vietnamese language is required, as this role serves clients based in Vietnam, and involves direct customer communications in native language

Skills

Required:Enterprise salesVietnamese language

Benefits

  • Click here for region-specific benefits details.
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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