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Enterprise Hunter Account Executive, Nordics

Remote from
Denmark flag
Denmark
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department
Sales
Employment type
Full Time,
Job posted
Apply before
8 Jun 2026
Experience level
Director
Views / Applies
705 / 83

About Databricks

All your data, analytics and AI on one lakehouse platform

Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Databricks seeks an Enterprise Hunter Account Executive for the Nordics region, based in Denmark, to drive strategic growth and expand footprint in key enterprise accounts. The role involves hunting new logo opportunities, leading customers to identify impactful data and AI use cases, and orchestrating internal teams. Candidates need 5+ years of SaaS sales experience, strong new logo hunting, and knowledge of the Data & AI space. Fluency in English and a Nordic language (preferably Danish) is required.

Job Complexity

Easy Hard
AI Insight The role requires extensive experience in enterprise sales, new logo hunting, and technical knowledge of data and AI, combined with fluency in a Nordic language, making it highly challenging.

Salary Analysis

Median
USD200,000
US Market
USD150,000 – USD250,000
AI Insight The salary range is not provided in the job listing, but based on market data for Enterprise Account Executives in the Nordics with similar experience in SaaS and data/AI, the median is estimated at $200,000. This is competitive for the region and role seniority.

Key Skills

Enterprise Sales New Logo Hunting SaaS Big Data AI Cloud MEDDPICC Value Selling Nordics Market Account Planning

Dear Hiring Manager,

I am writing to express my strong interest in the Enterprise Hunter Account Executive position at Databricks. With over 7 years of experience selling SaaS solutions to enterprise customers in the Nordics, I have consistently exceeded quotas and driven new logo acquisition. My background in big data and cloud technologies aligns perfectly with Databricks' mission to solve complex data and AI challenges.

In my previous role at a leading cloud platform, I successfully landed and expanded accounts by identifying key use cases and building champions across organizations. I am adept at MEDDPICC and value selling, and I bring fluency in Danish and English. I am excited about the opportunity to contribute to Databricks' growth in the Nordics and would welcome the chance to discuss my qualifications further.

Sincerely,
[Your Name]

Describe a time you successfully hunted and closed a new logo in a large enterprise. What was your strategy?
I targeted a Fortune 500 manufacturing company by identifying their pain points in data silos. I built a champion within IT, used MEDDPICC to qualify, and demonstrated ROI with a proof of concept. The deal closed in 6 months for $500K ARR.
How do you approach account planning for a territory like the Nordics?
I analyze market data, prioritize accounts based on fit and potential, and create a territory plan with specific targets. I leverage local partners and tailor messaging to each country's business culture.
Explain a complex software deal you managed and how you ensured quota over-achievement.
I led a multi-stakeholder deal with a telecom company, coordinating with engineering and legal. By aligning the solution to their AI strategy and using value selling, I closed a $1M deal, exceeding my quota by 120%.
How do you stay updated on the Data & AI space, and how does that help in sales?
I follow industry blogs, attend webinars, and participate in Databricks' training. This helps me speak knowledgeably about use cases like real-time analytics, building trust with technical buyers.
Describe your experience with consumption-based land and expand models.
At a previous SaaS company, I sold a platform where customers started with a small deployment and expanded usage over time. I ensured initial success by providing training and support, leading to 3x expansion within a year.

SLSQ327R30

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 rely on us to drive the accelerated innovation needed to stay ahead in today’s highly competitive landscape.

We are looking for an Enterprise Hunter Account Executive to join the team to maximise the phenomenal market opportunity that exists for Databricks across the Nordics. Reporting to the Director of Enterprise Sales, you will be responsible for driving strategic growth and expanding our footprint across the region’s most critical enterprise accounts. This role is based in Denmark.

The impact you will have:

  • Assess your list of assigned accounts and develop a strategy to execute against it
  • Build a customer base, identifying and closing new logo opportunities
  • Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.
  • Identify land opportunities and develop the expand / consumption use cases.
  • Orchestrate and utilise internal teams to maximise the impact on your ecosystem.
  • Build exceptional value with all engagements to guide successful negotiations to close point

What we look for:

  • Minimum 5+ years of experience selling SaaS solutions to Enterprise Customers
  • Extensive experience and strong performance in new logo hunting
  • Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
  • Successful experience selling complex software deals and quota over-achievement
  • Understanding of consumption based land and expand sales models is advantageous
  • Knowledge of the Data & AI space with some technology sales experience
  • Evidence of creating demand that delivered substantial business value
  • Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
  • Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.
  • Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
  • Fluency in business English and a Nordic language is required, preferably Danish

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.
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.

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Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›

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