Enterprise Hunter Account Executive, Federal Civilian

Sorry, this job was removed at 08:26 p.m. (UTC) on Wednesday, Jun 11, 2025
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Hiring Remotely in Washington, DC, USA
In-Office or Remote
220K-308K Annually
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

SLSQ426R48

As an Enterprise Hunter Account Executive at Databricks, you are a sales professional experienced in selling into Federal Civilian accounts. These accounts are primarily prospects or have limited existing Databricks spend. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding products in depth and are passionate about communicating their value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow existing accounts, with a specific focus on closing and developing new logos. 

The impact you will have:

  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and 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
  • Field sales experience within big data, Cloud, or SaaS sales
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 4+ years experience exceeding sales quotas
  • Success closing new accounts while working existing accounts
  • Understanding of Spark and big data preferable
  • Passion for cloud technologies
  • Bachelor's Degree
 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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 1 Pay Range
$219,900—$307,875 USD
Zone 2 Pay Range
$219,900—$307,875 USD
Zone 3 Pay Range
$219,900—$307,875 USD
Zone 4 Pay Range
$219,900—$307,875 USD

About Databricks

Databricks 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 Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks 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 Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks. 

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.

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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