SLSQ226R78
As an Enterprise Account Executive in Databricks' Communications, Media, and Entertainment vertical, you are a data-driven sales professional experienced in selling to enterprise-level organizations. You excel at demonstrating how Databricks' innovative data and AI solutions can revolutionize the industry through customer vision expansion and compressed decision cycles. Your passion lies in deeply understanding both Databricks' products and the unique challenges faced by organizations, effectively communicating the value of data-driven insights to enhance performance, fan engagement, and business operations.You will report to the Director of Enterprise Sales, focusing on the vertical within Databricks.
The impact you will have:
-
Develop and execute sales strategies targeting high-value accounts in the CME industry
-
Guide deals forward by aligning Databricks' solutions with the strategic goals of enterprise organizations
-
Collaborate with System Integrators to create comprehensive solutions for complex client needs
-
Identify and secure new enterprise accounts within the CME vertical
-
Maintain and expand relationships with existing clients
-
Serve as the primary liaison between Databricks and organizations
-
Meet or exceed assigned sales quotas, with opportunities for accelerators above 100% quota attainment
-
Develop strategic account plans to maximize revenue potential within the vertical
-
Identify and capitalize on upsell and cross-sell opportunities within existing accounts
What we look for:
-
Proven track record in enterprise software sales, preferably with experience in the CME industry
-
Strong understanding of data analytics, AI, and cloud technologies
-
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders
-
Strategic thinking and ability to align technology solutions with business objectives
-
Experience with CRM systems and enterprise sales methodologies
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.
Top Skills
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.
.png)
