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Enterprise Hunter Account Executive, Federal Civilian
Remote - Washington D.C.
·
Remote
·
Full-time
·
2w ago
Compensation
$245,200 - $337,150
Required Skills
Enterprise sales
Complex software sales
Account planning
MEDDPICC
Value selling
Command of the Message
SLSQ227R292
- As an Account Executive
- Enterprise Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries. This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts in the Federal Civilian space. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships.
The impact you will have:
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Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
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Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
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Identify and close quick wins while managing longer, complex sales cycles.
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Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
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Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
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Use a solution-based approach to selling and creating value for customers.
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Develop a deep and detailed understanding of the customer's business.
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Provide leadership to the customer, important staff, and technical teams.
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Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
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Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.
What we look for:
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5+ years of experience selling multi-million dollar complex software deals to the region's recognizable organizations within the Federal Civilian space.
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Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
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Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
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5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
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5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
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Build customer champions and collaborative teams to support the implementation of the expansion plan.
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Understanding of how to develop a clear partner strategy and manage it successfully.
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**$245,200—$337,150 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.
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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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