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SLSQ425R244
Want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.
As a Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating value to the customer. You love understanding a product in depth and are passionate about communicating its value to Customers. Always looking for new opportunities, you will close new accounts while growing existing accounts. You will report directly to the Director of Digital Native. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment.
The impact you will have:
- Direct influence on the data strategy of the most engineering-centric companies today
- Communicate account strategy to Databricks Senior Leadership
- 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 improve business outcomes
- Exceed activity, pipeline, and revenue targets
- Use a creative, fail-fast approach to selling and creating value for customers
- 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 with Open Source Technologies and build vs buy decision-making
- Significant experience with Value Selling Methodologies
- A creative salesperson with a well-defined prospecting motion
- Sales experience within big data, Cloud, or SaaS sales
- A track record of exceeding sales quotas
- Success closing new accounts while working on existing accounts
- 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.
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.
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