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Enterprise Account Executive, Federal Financials

Databricks

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About the role

SLSQ327R413

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As an Enterprise Account Executive, Federal Financials, at [hidden], you will be responsible for driving sales of [hidden] within a dedicated set of consuming accounts in the Public Sector segment. As an experienced Account Executive, you know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Public Sector clients. Always looking for new opportunities, you will be expected to net new accounts and expand current footprints. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

  • Manage complex sales-cycles and present to C-level executives.
  • Close net new logos and expand existing accounts.
  • Identify and close quick, small wins while managing longer, complex sales cycles.
  • 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 [hidden]; enterprise cloud data platform powered by Apache Spark.
  • Ensure 100% satisfaction among all customers.
  • Prioritize opportunities and applying appropriate resources.
  • Build a plan for success internally at [hidden] and externally with your accounts.

What we look for:

  • You have previously worked in an early-stage company, and you know how to navigate and be successful.
  • 5+ years of field sales experience, Federal Financials experience is preferred.
  • Background in big data, Cloud, or SaaS sales is preferable.
  • Track record of success delivering business value to customers.
  • Experience with cloud technologies.
  • Bachelor's degree is preferred.

Pay Range Transparency

[hidden] 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. Based on the factors above, [hidden] anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 2 Pay Range

$245,200—$337,150 USD

About [hidden]

[hidden] is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the [hidden] Data Intelligence Platform to unify and democratize data, analytics and AI. [hidden] is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow [hidden] on Twitter, LinkedIn and Facebook.

Benefits

At [hidden], 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.

Our Commitment to Diversity and Inclusion

At [hidden], we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at [hidden] are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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