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Databricks

Enterprise Account Executive, Nordics

Stockholm, Sweden

Location
Stockholm, Sweden
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Sales
Pay
Not stated
Posted
2 months ago

About the role

SLSQ427R409

Want to help solve the world’s toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today’s ultra-competitive landscape.

As a Core Enterprise Account Executive, you will own a focused territory of ~10 large Enterprise spending accounts across the Nordics. As a successful candidate, you are a high-achieving sales professional and self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, are always prospecting and identifying new use cases and growing consumption, 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. You will report to the Director of Enterprise Sales, Nordics.

The impact you will have

  • Assess your territory and develop a successful execution strategy
  • Drive quarter-on-quarter consumption growth in existing accounts
  • Exceed activity and quarterly revenue targets
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Identify new use case opportunities and showcase value to existing customers
  • Promote the value of the Databricks' Data Intelligence Platform
  • Ensure 100% satisfaction among all customers

What we look for

  • Minimum 4+ years of sales experience in the software industry, preferably in open source, data platform, AI/ML Infra, Observability, cloud infrastructure or cloud security
  • Experience growing consumption, and closing commit deals in a direct sales role
  • Proven track record of exceeding sales targets/quotas
  • Advanced understanding of MEDDPICC and Value Selling
  • Competent with prospecting research and ability to map out key stakeholders
  • Business fluency in English and a Nordic language is required
  • Bachelor's Degree or relevant work experience

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.

Source

Posted by Databricks on their own hiring page, databricks.com. OptiTalent shows it as published, read 07 Nov 2026 02:18 UTC; the original is the reference.

View the original ad ↗

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