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SLSQ126R123
Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world’s toughest problems.
Reporting to the Continental Sales Director (Emerging), your mission will be to acquire new customers for Databricks in Germany.
As a Greenfield Account Executive, you will be an energetic salesperson passionate about prospecting and closing new opportunities, guiding customers to achieve their first business outcomes of Databricks. You will be passionate about data & AI technology and communicating its value to our clients and partners. You will be offered exciting opportunities for compensation and career development as part of an innovative business unit supporting the early customer journey at Databricks.
The impact you will have:
- Develop a successful territory strategy in your first 30 days.
- Start executing and developing your first customer activations within your first 60 days.
- Implement prospecting campaigns to discover new opportunities in partnership with your Business Development Representative.
- Guiding customers through their first decision and their early successes driving outcomes with the Databricks Platform
- Driving accelerated quarter-over-quarter growth in a consumption sales model
- Work with system integrators, ISVs and cloud partners to help customers build an excellent data and AI strategy
- Meet and exceed quarterly revenue targets.
Competencies / Requirements
- Understanding of, and passion for, the data, AI, open source and cloud space.
- Sales experience gained at high growth and successful companies.
- Proven track record in prospecting and new logo acquisition.
- Quota-overachievement when selling complex software and services in Germany
- Determination to succeed, learn and build your career as a salesperson at Databricks.
- Experience in a consumption-based model
- Proven ability to sell value, build champions and work with a partner ecosystem.
- Fluency in English and German
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.
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.
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