Remote Enterprise Data & AI Account Executive

Databricks

Los Angeles (CA)

Remote

USD 150,000 - 190,000

Full time

36 hours ago
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Job summary

Databricks is seeking an Enterprise Account Executive to lead go-to-market campaigns in CMEG Fortune 500 accounts from Los Angeles and San Francisco. You will sell the Databricks Data + AI Platform and drive strategic, value-based growth with enterprise customers.

You will engage CIOs and IT leaders, map opportunities, and collaborate with partners to compress decision cycles while achieving revenue targets. Remote options are available within the US.

Qualifications

  • 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
  • Experience selling to CIOs, IT executives and program managers
  • Ability to translate technical capabilities into business value

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

Skills

Enterprise sales
Fortune 500
SaaS
Big Data
CMEG
Value selling

Education

Bachelor's Degree

Job description

Databricks is seeking an Enterprise Account Executive to lead go-to-market campaigns in CMEG Fortune 500 accounts from Los Angeles and San Francisco. You will sell the Databricks Data + AI Platform and drive strategic, value-based growth with enterprise customers.

You will engage CIOs and IT leaders, map opportunities, and collaborate with partners to compress decision cycles while achieving revenue targets. Remote options are available within the US.

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