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Databricks

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Databricks

Geo Core Account Executive-FINS

Databricks seeks a Geo Core Account Executive-FINS for a remote, full-time position. In this role, the professional will focus on hunting net-new logos within the financial…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
Not specified
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Employment type
Full-time
Experience
Not specified
Added to Jobsiz2h agoEmployer posted Nov 9, 2026
Listing Views2
Applications0
Apply BeforeNo deadline

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About This Role

Databricks seeks a Geo Core Account Executive-FINS for a remote, full-time position. In this role, the professional will focus on hunting net-new logos within the financial services sector, guiding deals to completion, and communicating product value to clients and system integrators. This position suits a sales expert with a background in cloud, big data, or SaaS environments who excels at shortening decision cycles and expanding customer vision. Databricks operates as…

Job Description

Databricks seeks a Geo Core Account Executive-FINS for a remote, full-time position. In this role, the professional will focus on hunting net-new logos within the financial services sector, guiding deals to completion, and communicating product value to clients and system integrators. This position suits a sales expert with a background in cloud, big data, or SaaS environments who excels at shortening decision cycles and expanding customer vision.

Databricks operates as a data and intelligence enterprise, serving over 20,000 global organizations through its unified analytics, data, and AI platform. The company provides technologies such as Apache Spark, Unity Catalog, and Lakehouse to help businesses scale applications and analytics.

Responsibilities

  • Meet with IT executives, CIOs, line of business leaders, program managers, and key stakeholders
  • Close agreements for both new accounts and existing clients
  • Balance fast, minor wins with management of extended, complex sales processes
  • Surpass targets related to activity, revenue, and pipeline generation
  • Log all customer interactions, timelines, use cases, and forecasting data inside Salesforce
  • Apply value-driven, solution-based selling methods
  • Advocate for the enterprise cloud data platform driven by Apache Spark
  • Maintain complete satisfaction among all customer accounts
  • Prioritize business opportunities and deploy proper resources
  • Formulate internal and external success strategies for designated accounts

Requirements

  • Prior field sales background in SaaS, cloud computing, or big data
  • Established professional network with CIOs, program managers, and key decision-makers
  • Minimum of four years of experience surpassing assigned sales goals
  • Ability to explain intricate cloud technologies clearly
  • Track record of closing net-new business

Qualifications

  • Previous tenure at an early-stage organization
  • Prior sales experience targeting financial services institutions
  • Familiarity with big data concepts and Apache Spark
  • Bachelor's Degree

Core Skills

Benefits

  • Comprehensive benefits and perks tailored to employee needs based on region
  • Sales accelerators for performance exceeding 100 percent quota attainment

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Is this position remote?

Yes, the posting explicitly lists the employment type and location as remote.

What salary does Databricks offer for this role?

The source posting does not specify a salary.

What level of experience is required?

Candidates must have four or more years of experience exceeding sales quotas, along with field sales experience in big data, cloud, or SaaS.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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Posted by Databricks

Source: Jobicy

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Posted by employer: Nov 9, 2026

Added to Jobsiz: Nov 9, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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