Synced from Greenhouse · Aug 27

Enterprise Account Executive

DatabricksUnited StatesPosted Aug 27, 2026
Enterprise Account ExecutiveMid
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Other open Databricks roles
Aug 27
Posted
Greenhouse
Applicant system
Job descriptionReq 7716357002

P-1357

As an Emerging Enterprise Account Executive at Databricks, you have strong command of the SaaS sales process. 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 partners. Always prospecting for new opportunities, you will close new accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

  • Assess your accounts 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 on your ecosystem
  • Build value with all engagements to promote successful negotiations to close point
  • Promote Databricks enterprise cloud data platform powered by Apache Spark
  • Be Customer focused by delivering technical and business results using the Databricks Platform
  • Promote Teamwork...it makes the Dreamwork!

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 sales
  • Prior customer relationships with CIOs and important decision-makers
  • Simply articulate intricate cloud technologies and big data
  • Experience exceeding sales quotas
  • Success closing new accounts while up selling existing accounts
  • 2+ years of full- cycle closing sales experience in SaaS/PaaS companies
  • Bachelor's Degree

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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Enterprise Account Executive
Databricks · United States
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