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Databricks

Strategic DNB Hunter Account Executive (China)

Singapore

Location
Singapore
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Sales
Pay
Not stated
Posted
4 months ago

About the role

SLSQ327R457

As a Strategic DNB Hunter Account Executive, your mission will be to acquire key strategic digital native enterprise within the Greater China Region. You know how to sell innovation and change 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 partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China.

The impact you will have

  • Prospect for new customers
  • Assess your existing customers and develop a strategy to identify and engage all buying centers
  • Use a solution approach to selling and creating value for customers
  • Identify the most viable use cases in each account to maximize Databricks' impact
  • Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory
  • Build value with all engagements to promote successful negotiations and close
  • Promote the Databricks enterprise cloud data platform
  • Be customer-focused by delivering technical and business results using the Databricks Platform

What we look for

  • Proven success in Digital Native Sales roles, ideally in Big Data, Cloud, or SaaS technology
  • Proven network and selling experience into top Digital Native enterprises in China region
  • Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
  • Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
  • Proven success and upward trajectory in whatever you have done
  • Bachelors Degree and 7+ years of experience selling SaaS solutions to Enterprise Customers
  • Business proficiency in Mandarin 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 to conduct technical and business discussions, address sales challenges, and present clear value propositions and outcomes.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

Our Commitment to Diversity and Inclusion

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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Source

Posted by Databricks on their own hiring page, databricks.com. OptiTalent shows it as published, read 07 Nov 2026 02:27 UTC; the original is the reference.

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