SLSQ427R122
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 Benelux. 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 hybrid, based in Amsterdam.
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 4+ 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
- Understanding of the Benelux territory and customers
- Fluency in business English and Dutch
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.
Skills Required
- Minimum 4+ years 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 technical sales experience
- Successful experience selling complex software deals and quota over-achievement
- Understanding of consumption-based land and expand sales models
- Knowledge of the Data & AI space with technology sales experience
- Evidence of creating demand that delivered substantial business value
- Experience following robust sales methodologies and processes (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting
- Experience building effective champions, collaborative teams and partnerships to execute territory plans
- Understanding of the Benelux territory and customers
- Fluency in business English and Dutch
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
What We Do
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. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
