Enterprise Account Executive - FSI
Quick Summary
SLSQ227R13 As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers in Databricks.
SLSQ227R13
As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within the FSI vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director, FSI Sales, Japan.
- You will secure new logos with strategic accounts in the FSI vertical.
- You will create a focused and targeted logo acquisition strategy.
- Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.
- Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
- You will build value in all engagements to guide successful negotiations.
- You will plan, document, and drive the growth of Databricks usage for your customers.
- You will develop a deep and detailed understanding of the customer's business.
- Provide leadership to the customer, important staff, and technical teams.
- Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
- Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.
- 5+ years experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment.
- Selling experience to the Enterprise FSI customers in Japan.
- Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
- Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.
- 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
- 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
- Build customer champions and collaborative teams to support the implementation of the expansion plan.
- Understanding of how to develop a clear partner strategy and manage it to success.
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.
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.
Location & Eligibility
Listing Details
- First seen
- April 7, 2026
- Last seen
- April 27, 2026
Posting Health
- Days active
- 20
- Repost count
- 0
- Trust Level
- 36%
- Scored at
- April 27, 2026
Signal breakdown

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.
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