mid sales Account Executive ic
$272,000 – $374,000
USD per year

About this role

Databricks is hiring a mid-level Account Executive in the sales function based in Atlanta, GA | Dallas, TX | New York City, NY | Philadelphia, PA | Virginia | Washington, DC. The posting calls out experience with Spark, Databricks, MLflow, Salesforce. Compensation is listed at $272,000–$374,000 per year.

Role
Account Executive
Function
sales
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Atlanta, GA | Dallas, TX | New York City, NY | Philadelphia, PA | Virginia | Washington, DC
Department
Enterprise Sales

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Job description

from Databricks careers

SLSQ227R758

As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 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 value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage 3 large enterprise Consumer Packaged Goods (CPG) clients within our Retail Vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have:

  • Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
  • This is an excerpt. Read the full job description on Databricks careers →
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