Geo Hunter Account Executive, Gaming West Coast - United States

As an Enterprise Account Executive in Databricks' Gaming vertical, you are an enterprise sales professional experienced in selling to 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 close new accounts while maintaining existing accounts.

Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

You will report to the Director of Enterprise Sales.

The impact you will have : Present a territory plan within first 90 daysMeet with CIOs, IT executives, LOB executives, Program Managers, and other important partnersClose both new accounts and existing accountsIdentify and close quick, small wins while managing longer, complex sales cyclesExceed activity, pipeline, and revenue targetsTrack all customer details including use case, purchase time frames, next steps, and forecasting in SalesforceUse a solution-based approach to selling and creating value for customersPromote Databricks' enterprise cloud data platform powered by Apache SparkEnsure 100% satisfaction among all customersPrioritize opportunities and applying appropriate resourcesBuild 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 successfulField sales experience within big data, Cloud, and SaaS salesPrior customer relationships with CIOs, program managers, and essential decision makersSimply articulate intricate cloud technologies7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industriesSuccess closing new accounts while working existing accountsUnderstanding of Spark and big data preferableBachelor's DegreePay Range TransparencyDatabricks is committed to fair and equitable compensation practices.

The pay range(s) for this role is listed below and represents base 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 utilizes 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.

Zone 1 Pay Range : $149,600 — $229,400 USD

Zone 2 Pay Range : $149,600 — $229,400 USD

Zone 3 Pay Range : $149,600 — $229,400 USD

Zone 4 Pay Range : $149,600 — $229,400 USD

About DatabricksDatabricks 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.

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 here.

Our Commitment to Diversity and InclusionAt 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.

ComplianceIf 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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