Enterprise Account Executive - Financial Services
The Role
As an Enterprise Account Executive at Databricks, you are responsible for selling to Financial Services accounts, guiding deals forward, and promoting Databricks' enterprise cloud data platform.
Responsibilities
- Meet with key stakeholders including CIOs, IT executives, LOB executives, Program Managers, and others
- Close both new 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 in Salesforce, including use cases, purchase timelines, next steps, and forecasts
- 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 apply appropriate resources
- Create a plan for success internally at Databricks and externally with your accounts
Requirements
- You have previous experience in an early-stage company and have successfully navigated and succeeded in such environments
- You have field sales experience in big data, cloud, or SaaS sales
- You have prior customer relationships with CIOs, program managers, and essential decision-makers
- You can simply articulate intricate cloud technologies
- You have 6+ years of experience exceeding sales quotas
- You have expertise with financial services institutions
- You have success in closing new accounts while maintaining existing accounts
- You have understanding of Spark and big data
- You are passionate about cloud technologies
- You have a Bachelor's degree
Qualifications
- Bachelor's Degree
Skills
- Strategic Sales
- Customer Vision Expansion
- Product Depth Understanding
- Value Communication
- Solution-Based Selling
- Apache Spark™ Knowledge
- Financial Services Experience
- Cloud and SaaS Sales Experience
- Customer Relationship Management
- Account Management
- Project Management
- Communication Skills
Benefits
- Accelerators above 100% quota attainment
Pay
The pay range for this role is listed below and represents the expected 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 these factors, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for an annual performance bonus, equity, and the benefits listed above.
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, 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 the employer's discretion whether to apply for a U.S. government license for such positions, and the employer may decline to proceed with an applicant on this basis alone.