Geo Hunter Account Executive, Sports

Sorry, this job was removed at 06:25 p.m. (CST) on Monday, Apr 20, 2026
Hiring Remotely in United States
Remote
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

As a Geo Hunter Account Executive in the Sports segment at Databricks, you are passionate about selling Data & AI to sports teams and organizations. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over enterprise accounts, and will be responsible for closing new customers and growing consumption. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. 

The impact you will have:

  • You will have a direct influence on the data strategy of the most innovative sports companies today
  • You will communicate account strategy to Databricks Senior Leadership on a regular basis
  • You will allocate Databricks resources to break into new accounts
  • Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
  • Exceed activity, pipeline, and revenue targets
  • You will use a creative, fail-fast approach to selling and creating value for customers
  • You will build a plan for success internally at Databricks and externally with your accounts

What we look for:

  • Passion for selling a highly technical product in the cloud
  • 4+ years of experience with Open Source Technologies and build vs buy decision-making
  • 4 - 6 years of experience with Value Selling Methodologies
  • A creative salesperson with a well-defined prospecting motion
  • Sales experience within big data, Cloud, or SaaS sales
  • Proven years of experience exceeding sales quotas
  • Success closing new accounts 

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 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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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

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. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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