SLSQ425R981
Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world’s toughest problems. We are looking for a Business Development Representative (BDR) to represent Databricks to prospective customers in the Benelux region (Netherlands, Belgium and Luxembourg). This role is perfect for a sales professional early on in their career, looking to help scale out a game-changing enterprise software company and develop their sales career. Reporting to the BDR manager, you will be part of a dynamic team of like-minded individuals and have the opportunity to make a difference in a budding regional team. This role will be hybrid in our Amsterdam office.
The impact you will have:
- Rapidly develop your skill-set around value-based selling, big data and AI
- Provide a great customer experience for Databricks’ prospective customers
- Conduct account and prospect research to inform and develop compelling outreach campaigns to increase engagement in a large variety of accounts
- Maintain active inbound and outbound communications with prospects using tailored follow-up, including personalised email, cold calling and social selling
- Partner with the wider sales team to develop territory strategy, build a pipeline, and increase adoption
- Uncover and identify client needs and progress conversations into sales opportunities by communicating how Databricks will meet them effectively
What we look for:
- Minimum 2+ years of work experience
- Prior successful sales experience is preferred but not necessary
- Determination to succeed, learn and build the next best enterprise software company
- Consistent, measurable over-achievement in past experiences
- Active listening and questioning in phone-based and in-person scenarios
- A genuine interest in big data/AI
- Positive contributor to team and company culture
- Fluency in Dutch/Flemish required (minimum C2), preference for native speakers
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 Twitter, LinkedIn 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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
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.
