SLSQ227R236
As an Account Executive at Databricks, you come with relevant experience selling to Digital Native and/or Enterprise accounts. As a successful candidate you are a self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, identify new use cases and grow consumption 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. You will be offered huge potential for career progression with the pace of the team's growth.
You will report to the Head of Sales, Digital Natives & Emerging Enterprise, BeNeLux
The impact you will have:
Assess your territory and develop a successful execution strategy
Drive quarter-on-quarter consumption growth in existing accounts
Exceed activity and quarterly revenue targets
Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
Identify new use case opportunities and showcase value to existing customers
Promote the value of the Databricks' Data Intelligence Platform
Ensure 100% satisfaction among all customers
What we look for:
Good understanding of the data platform and cloud ecosystems
Some exposure to the software industry and understanding of selling SaaS, Data and Business Value
Experience growing consumption and closing commit deals in a direct sales role
Competent with prospecting research and ability to map out key stakeholders
Advanced understanding of MEDDPICC
Experience exceeding sales targets/quotas
Bachelor's Degree or relevant work experience
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.