Quick Summary
SLSQ227R11 As an Enterprise Account Executive in Databricks, you are an enterprise sales professional experienced in selling to Enterprise accounts in Greater China region.
SLSQ227R11
As an Enterprise Account Executive in Databricks, you are an enterprise sales professional experienced in selling to Enterprise accounts in Greater China 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.
- 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.
- Field sales experience within big data, Cloud, and SaaS sales, covering Greater China 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
- Business proficiency in Mandarin/ Cantonese and experience in the GCR territory are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the customers in Mandarin/ Cantonese to conduct technical and business discussions, address sales challenges, and present clear value propositions and outcomes.
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Listing Details
- Posted
- March 19, 2026
- First seen
- March 23, 2026
- Last seen
- April 7, 2026
Posting Health
- Days active
- 15
- Repost count
- 0
- Trust Level
- 33%
- Scored at
- April 8, 2026
Signal breakdown

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.
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