Strategic Core Account Executive, Monterrey

## Responsibilities - Manage designated accounts and be responsible for expanding consumption within existing businesses. - Have a direct impact on the data strategy of the most transformative companies. - Communicate the account strategy periodically to the executive leadership at Databricks. - Assign Databricks resources to increase consumption of existing accounts. - Meet with executive leadership to understand how Databricks can impact business outcomes. - Consistently exceed all activity, customer portfolio, and revenue targets. - Use a creative and problem-solving approach to sell and create value for customers. - Develop a plan to achieve success internally at Databricks and externally in your area. ## Requirements - Native Spanish speaker; business-level fluency in English. Portuguese knowledge is favorable, though not mandatory. - Passion for selling a highly technical cloud product. - More than 5 years of experience with open-source technologies and value-based sales. - A creative seller with a well-defined lead identification and management process, and a proven track record of influencing decision-making between building or buying. - Experience in sales in data, AI, cloud, or SaaS. - Proven track record of consistently exceeding sales quotas, ideally focused on driving incremental consumption. - Success in closing new accounts while working on existing accounts. ## Nice to Have - None specified. ## Benefits - Comprehensive benefits and perks tailored to employees' needs. - Information on specific benefits in your region available here. 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.