Enterprise Account Executive - Digital Native
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SLSQ227R424 As a Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, technologically advanced companies. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will close new accounts while growing existing accounts by always looking for new opportunities. The impact you will have: You will have a direct influence on the data strategy of the most disruptive companies today You will communicate account strategy to Databricks Japan senior leadership on a regular basis You will allocate Databricks resources to break into new accounts and grow existing accounts Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes Exceed activity, pipeline, and revenue targets You will use a creative, fail-fast approach to selling and creating value for customers You will build a plan for success internally at Databricks and externally with your accounts What we look for: Passion for selling a highly technical product in the cloud Experience selling to Digital Native customers in Japan is preferred 5+ years of experience with Value Selling Methodologies A creative salesperson with a well-defined prospecting motion Sales experience within big data, Cloud, or SaaS sales Proven years of experience exceeding sales quotas Success closing new accounts while working on existing accounts 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 .
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