Synced from Greenhouse · Oct 25

Hunter Account Executive - Indonesia

DatabricksSingaporePosted Oct 25, 2026
Account ExecutiveMid
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Oct 25
Posted
Greenhouse
Applicant system
Job descriptionReq 8878066002

SLSQ427R902

Databricks Enterprise Sales team is looking for an Account Executive to join us in Singapore. This is a role to double down on the opportunity identified in the Indonesian market.

As an Account Executive, you will have a strong command of the SaaS sales process. You know how to present innovation and change through customer vision expansion and can guide opportunities forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners, and importantly, the business value that technology can unlock. Always prospecting for new opportunities, you will engage new accounts whilst continuing to increase value within existing accounts. 

The impact you will have:

  • Assess your accounts and develop a strategy to identify and engage
  • Use a solution approach and create value for customers
  • Identify the most valuable use cases in each account to maximize Databricks' impact
  • Orchestrate and work with teams to maximize the impact on your ecosystem
  • Build value with all engagements to promote successful negotiations to close
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark
  • Be customer-focused by delivering technical and business results using the Databricks Platform

What we look for:

  • You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization
  • Sales experience within Big Data, Cloud, or SaaS
  • Experience working with C-Level executives
  • Simply articulate intricate cloud technologies and big data
  • Success in breaking into new accounts whilst growing existing accounts
  • Experience exceeding sales targets
  • Bachelor's Degree and 5+ years of experience selling SaaS solutions is essential
 

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Hunter Account Executive - Indonesia
Databricks · Singapore
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