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SLSQ126R39
As part of our accelerating growth, Databricks is looking for a dynamic Enterprise Account Executive to join us in Seoul, Korea. This is an exciting Sales role that will make an important impact on the revenue and expansion of our business. As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers. You know how to sell within a variety of Enterprise vertical domains 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. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the VP & GM, Korea.
The impact you will have:
- Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise Accounts across all industries
- Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team
- Engage with business and technical decision makers and lead them through the evaluation and buying process
- Exceed individual activity, pipeline and annual revenue targets
- Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs)
- Drive customer success and upsell in existing customers
- Create a Territory Strategy
What we look for:
- Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology
- Demonstrable experience of selling innovation, ideally in Big Data, Cloud, or SaaS technology
- Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
- Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
- Proven success and upward trajectory in whatever you have done
- Bachelors Degree and 5+ years of experience selling SaaS solutions to Enterprise Customers
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.
