SLSQ426R555
Reporting to our Director of Enterprise Sales, you will manage named enterprise customers in our Digital Native AdTech vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.
The impact you will have:
- Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
- Drive value-based growth within the account.
- Expand the Databricks footprint into new business units and use cases.
- 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' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
- Prioritize opportunities and leverage appropriate resources.
- Build a plan for success internally at Databricks and externally with your account
- You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
- Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
- Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
- The ability to simplify a technical capability into a value-based benefit
- 5+ years of Enterprise Sales experience exceeding quotas in larger accounts
- Managing a small set of enterprise accounts rather than a broad territory
- Bachelor's Degree
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page 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.
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.
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