Named Core Account Executive - Thailand
Hybrid (Thailand)full-timePosted 3w ago
About the role
Enterprise Account Executive responsible for selling to Enterprise accounts in Thailand, driving value through customer vision, managing end-to-end sales cycles, and expanding new and existing accounts for Databricks.
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
- 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
- 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
- Understanding of Spark and big data is preferable
- Proficiency in Thai language is required as this role serves clients based in Thailand and involves direct customer communications in native Thai language
- You have previously worked in an early-stage company, and you know how to navigate and be successful
Skills
Required:Sales strategy and territory planningRelationship building with executivesSolution-based selling
Last updated Oct 1, 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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