Synced from Greenhouse · Sep 9

Account Executive

DatabricksLondon, United KingdomPosted Sep 9, 2026
Account ExecutiveMid
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

865
Other open Databricks roles
Sep 9
Posted
Greenhouse
Applicant system
Job descriptionReq 8737153002

SLSQ427R430

 Want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.

As a Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating value to the customer. You love understanding a product in depth and are passionate about communicating its value to customers. Always looking for new opportunities, you will close new accounts while growing existing accounts. You will report directly to the Director of Digital Natives. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment.

The impact you will have:

  • Direct influence on the data strategy of the most engineering-centric companies today
  • Communicate the account strategy to Databricks Senior Leadership
  • Allocate Databricks resources to break into new accounts and grow existing accounts
  • Meet with C-Level Executives to Practitioner level to understand how Databricks can improve business outcomes
  • Exceed activity, pipeline, and revenue targets
  • Use a creative, fail-fast approach to selling and creating value for customers
  • Build a plan for success internally at Databricks and externally with your accounts

What we look for:

  • Passion for selling a highly technical product in the cloud
  • Experience with Open Source Technologies and build vs buy decision-making
  • Experience with Value Selling Methodologies
  • A creative salesperson with a well-defined prospecting motion
  • Sales experience within big data, Cloud, or SaaS sales
  • Track record of exceeding sales quotas
  • Success in closing new accounts while working on existing accounts

 

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
Databricks · London, United Kingdom
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