Digital Natives Hunter Account Executive, Nordics
Quick Summary
SLSQ427R715 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.
SLSQ427R715
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 an Digital Natives Hunter Account Executive for the Nordics, you are an enterprise sales professional experienced in selling to Digital Native accounts across the Nordics. 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 looking for new opportunities, you will close new accounts and expand them. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.
You will report to the Senior Sales Manager for Digital Natives.
- Assess your territory and develop a successful execution strategy
- Use a solution-based approach to selling and creating value for new logo accounts
- Identify and close quick, small wins while managing longer, complex sales cycles
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Exceed activity and quarterly revenue targets
- Promote the value of the Databricks' Data Intelligence Platform
- Ensure 100% satisfaction among all customers
- Understanding of the data platform and cloud ecosystems
- Some exposure to the software industry and some basic concepts of selling SaaS, Data and Business Value
- Basic understanding on how to research company information and identifying key stakeholders
- Competent with prospecting research and ability to map out key stakeholders
- Adept in selling to technical buyers
- Understanding of MEDDPICC
- Experience exceeding sales targets/quotas
- Bachelor's Degree or relevant work experience
- Fluency in English and Swedish (or another Nordic language) is required
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.
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.
Location & Eligibility
Listing Details
- Posted
- October 12, 2026
- First seen
- October 12, 2026
- Last seen
- October 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- October 12, 2026
Signal breakdown
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.
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