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Databricks

Named Core Account Executive (Public Sector)

Singapore, Singapore

The employer does not state the work arrangement.

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PayNot listed
Work arrangementNot stated
Who can applyNot stated by the employer
LevelNot stated
TypeNot stated
Occupationsales account manager
Languageen
Posted4 August 2026
Last verified5 hours ago
StatusActive

About the role

SLSQ327R242

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.

Listed via Databricks · first seen 22 October 2026 · last verified 28 October 2026

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