Named Hunter Account Executive

Summary

Join Databricks as an Enterprise Account Executive and drive value-based growth for Fortune 500 clients in the Retail & CPG vertical. You will be responsible for building relationships with key decision-makers, expanding Databricks' footprint, exceeding revenue targets, and promoting the Data Intelligence Platform powered by Apache Spark™ and Delta Lake. This role requires proven experience in enterprise sales, big data, cloud, and SaaS, along with a strong understanding of advanced analytics and AI. You will be responsible for managing a target set of net new enterprise accounts and exceeding quotas.

Requirements

• 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 enterprise engagements with CIOs, CDO's, Data Engineers, Data Analysts, Data Scientists, and essential decision makers
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a target set of net new enterprise accounts rather than a broad territory
• Bachelor's Degree

Responsibilities

• 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

Benefits

• 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
• 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
• 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