Databricks

Databricks

Strategic Enterprise Account Executive - CMEG

Remote - New York

Sponsorship not specified$312k-$428kDetected 4 days ago
DatabricksSparkData AnalysisSalesAccount ManagementForecasting

About the role

  • SLSQ327R444 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
  • You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles.
  • Databricks operates at the leading edge of the Unified Data Analytics and AI space.

Responsibilities

  • Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
  • Drive value-based growth within the account.
  • Build a plan for success internally at Databricks and externally with your account

Compensation

  • Databricks is committed to fair and equitable compensation practices.
  • The pay range(s) for this role is listed below and represents the expected 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.
  • Local Pay Range
  • $311,600 - $428,450 USD

Benefits

  • 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 click here.

Company info

  • Use a solution-based approach to selling and creating value for customers.
  • At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Equal opportunity

  • Our Commitment to Diversity and Inclusion

This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.