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Strategic Enterprise Account Executive - CMEG

Databricks· Sales
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Hybrid (Remote - California)$272k - $374kFull-timePosted 3mo ago

About the role

Enterprise Account Executive responsible for leading go-to-market campaigns in Fortune 500 accounts within the CMEG space, driving value-based growth, expanding Databricks footprint, and guiding deals to compression of decision cycles.

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

Qualifications

  • 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
  • Bachelor's Degree
  • 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
  • You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight

Skills

Required:Enterprise salesValue-based sellingRelationship building with CIOs and executivesForecasting and pipeline management

Benefits

  • Benefits details available via regional link (see job description)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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