Synced from Greenhouse · Aug 4

Account Executive

DatabricksSingaporePosted Aug 4, 2026
Account ExecutiveSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Aug 4
Posted
Greenhouse
Applicant system
Job descriptionReq 8537058002

As part of our accelerating APJ growth, Databricks is looking for a dynamic Account Executive to join the team. This exciting Sales role will make an important impact on revenue and the expansion of our business in Public sector (Singapore).

As an Named Core Account Executive, your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within a specific vertical domain 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.

The impact you will have:

  • Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Accounts across all industries
  • Prospect, identify, and source sales opportunities, building pipeline individually and with the Databricks SDR team
  • Engage with business and technical decision-makers and lead them through the evaluation and buying process
  • Exceed individual activity, pipeline, and annual revenue targets
  • Engage with and drive business through local partners (technology partners, ISVs, SIs, and GSIs)
  • Drive customer success and upsell in existing customers
  • Create a Territory Strategy focused on the public sector industry and other industries.

What we look for:

  • 7+ years of experience selling SaaS solutions to Public Sector/ Enterprise/mid-market/commercial/ Customers in Singapore.
  • Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology
  • Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology
  • 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

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.

Based on publicly available information. LandEarly does not verify interview process details.

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Account Executive
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