DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD. Hiring! Full Time Geo Core Account Executive in Central Region (Singapore), Earn up to SGD 10,000 - Ricebowl

As a Geo Core Account Executive in Databricks, you are an enterprise sales professional experienced in selling to Enterprise accounts in ASEAN region. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems.

You will report to the Director of Enterprise Sales.

The impact you will have:

• 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.

What we look for:

• Field sales experience within big data, Cloud, and SaaS sales, covering ASEAN territory
• 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