Strategic Enterprise Hunter Account Executive

SLSQ426R345 As a Strategic Enterprise Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into enterprise accounts. You know how to sell innovation and change through customer vision expansion 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 System Integrators.

Always looking for new opportunities, you will be asked to close net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. The impact you will have: Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners Close both new accounts and existing accounts Identify and close quick, small wins while managing longer, complex sales cycles Exceed activity, pipeline, and revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Use a solution-based approach to selling and creating value for customers Promote Databricks' enterprise cloud data platform powered by Apache Spark™ Ensure 100% satisfaction among all customers Prioritize opportunities and applying appropriate resources Build a plan for success internally at Databricks and externally with your accounts What we look for: You have previously worked in an early stage company and you know how to navigate and be successful Field sales experience within big data, Cloud, or SaaS sales Hunter (Net-New Logo) Experience Prior customer relationships with CIOs, program managers, and essential decision makers Simply articulate intricate cloud technologies 7+ years experience exceeding sales quotas Success closing new accounts while working existing accounts Understanding of Spark and big data preferable Passion for cloud technologies Bachelor's Degree 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. BenefitsAt 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.

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. --- Attention: Databricks...