Databricks

Enterprise Account Executive, Federal Civilian

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

SLSQ427R595

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

As an Enterprise Account Executive at Databricks, you will be responsible for driving sales of Databricks within a set of Federal Civilian accounts. 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 Databricks; 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 Databricks 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 Civilian experience is required.

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

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. Based on the factors above, Databricks 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

$272,000—$374,000 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

Our Commitment to Diversity and Inclusion

At Databricks, 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 Databricks 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.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Sales Enterprise Account Executive Mid level

Likely questions

  1. Tell us about work you have done that is close to the Enterprise Account Executive, Federal Civilian role.
  2. How would you approach your first 30 days at Databricks?
  3. Which of Data Analysis, Sales and Enterprise have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Sales and Enterprise.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Enterprise Account Executive, Federal Civilian role because I can bring practical experience in Data Analysis, Sales and Enterprise, learn the team quickly, and contribute to the outcomes Databricks needs from this hire.

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