
Enterprise Account Executive – State and Local
Databricks
full-time
Posted on:
Location Type: Remote
Location: Remote • District of Columbia, Maryland, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $245,300 - $343,475 per year
Job Level
Mid-LevelSenior
Tech Stack
ApacheCloudSpark
About the role
- 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
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 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 selling to State and Local accounts
- Managing a small set of enterprise accounts rather than a broad territory
- Bachelor's Degree
Benefits
- annual performance bonus
- equity
- comprehensive benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SalesforceEnterprise SalesConsumption SellingValue-Based SellingBig DataCloudSaaSData Intelligence PlatformApache SparkDelta Lake
Soft skills
Relationship BuildingCommunicationStrategic PlanningProblem SolvingNegotiationCustomer EngagementForecastingPrioritizationCollaborationAdaptability