πΉ Job Title: Enterprise Account Executive, Federal Financials
πΉ Company: Databricks
πΉ Location: Remote
πΉ Job Type: Remote
πΉ Category: πΌ Account Management
πΉ Date Posted: Mon Mar 31 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: Remote
Key aspects of this role include:
ASSUMPTION: The role emphasizes a strong sales orientation towards innovation in federal financials, requiring continuous learning about Databricks products to effectively sell and expand in this highly specific sector.
β Manage complex sales cycles and present to C-level executives.
β Close net new logos and expand existing accounts.
β Identify and close quick, small wins while managing longer, complex sales cycles.
β Exceed activity, pipeline, and revenue targets.
β Track all customer details, including use case, purchase timeframes, next steps, and forecasting in Salesforce.
β Use a solution-based approach to selling and creating value for customers.
β Promote Databricks' enterprise cloud data platform powered by Apache Spark.
β Ensure 100% satisfaction among all customers.
β Prioritize opportunities and apply appropriate resources.
β Build a plan for success internally at Databricks and externally with your accounts.
ASSUMPTION: Executing these responsibilities successfully requires a deep understanding of customer needs, the ability to manage relationships at high levels, and a strategic approach to sales cycles.
Education: Bachelor's degree
Experience: 5+ years of field sales experience in Federal Financial accounts preferred
Required Skills:
Preferred Skills:
ASSUMPTION: The role strongly prefers candidates with existing federal financial clientele and a technical sales background, suggesting a need for immediate contributions to business objectives.
Salary Range: $245,300 - $376,200 USD
Benefits:
Working Hours: 40 hours per week
ASSUMPTION: The compensation package suggests a competitive total remuneration including base salary, bonus structures, and potential equity, reflecting the high-value target market.
Industry: Software Development, specializing in Data and AI
Company Size: 5,001-10,000 employees
Founded: Not Specified
Company Description:
Company Specialties:
Company Website: https://databricks.com
ASSUMPTION: Contextual information is based on the company's public listed details and aims to demonstrate its capability as a leader in data and AI solutions.
Career Level: Experienced Professional
Reporting Structure: Roles are likely to report to a regional sales director or similar high-level leadership.
Work Arrangement: Remote-based role allowing for flexibility in work locations with potential travel for client meetings.
Growth Opportunities:
ASSUMPTION: These career opportunities assume successful performance and alignment with company's growing federal sector focus.
Office Type: Remote work environment with company-wide communication through digital tools
Office Location(s): Major offices in San Francisco, London, Amsterdam, and more
Geographic Context:
Work Schedule: Standard 40-hour workweek with potential for flexibility and variances according to client needs.
ASSUMPTION: Remote working arrangements reflect a commitment to flexibility, especially with international client bases.
Typical Process:
Key Assessment Areas:
Application Tips:
ATS Keywords: Federal Financials, Account Executive, Cloud Technologies, Big Data, SaaS, Salesforce
ASSUMPTION: These insights are gathered based on typical industry practices and the nature of the enterprise sales market.
ASSUMPTION: Assumed familiarity with these tools based on typical sales operations management and role responsibilities.
Company Values:
Work Style:
Self-Assessment Questions:
ASSUMPTION: Cultural fit considerations reflect ongoing themes of innovation and accountability in Databricks.
ASSUMPTION: Challenges are inferred from typical obstacles faced in high-stakes federal sales environments.
ASSUMPTION: Comparisons are made with peers in the industry associated with cloud and AI sales roles.
ASSUMPTION: Sample projects are based on common use cases in federal financial sectors leveraging Databricks.
ASSUMPTION: Questions are aligned with clarifying role-specific and strategic ambitions within Databricks.
To apply for this position:
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.