Databricks Logo

Databricks

Geo Hunter Account Executive, Sports

Posted 21 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The role involves selling Data & AI solutions to sports teams, closing new accounts, and influencing data strategy. Requires a creative sales approach and experience in big data and cloud sales.
The summary above was generated by AI

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, please visit https://www.mybenefitsnow.com/databricks. 

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.

Top Skills

AI
Cloud
Data
Open Source Technologies
SaaS

Databricks San Francisco, California, USA Office

160 Spear Street, San Francisco, CA, United States, 94105

Similar Jobs

59 Minutes Ago
Remote
United States
141K-212K Annually
Mid level
141K-212K Annually
Mid level
Artificial Intelligence • Productivity • Software • Automation
As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.
Top Skills: AWSAzureDatabricksGCPPythonSparkSQLTypescript
2 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
195K-234K Annually
Senior level
195K-234K Annually
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
The Director of Influencer Marketing & Social Media will lead creator strategies, manage social teams, drive community engagement, and establish measurable ROI frameworks within Babylist's influencer marketing efforts.
Top Skills: Ai ToolsSocial Media Platforms
2 Hours Ago
Easy Apply
Remote
U.S.
Easy Apply
164K-328K Annually
Senior level
164K-328K Annually
Senior level
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
As a Staff Software Engineer, you'll define Webflow's deployment strategy, enhance developer productivity, and mentor engineers while ensuring system reliability.
Top Skills: Argo RolloutsArgocdAWSCi/CdDockerGitopsKubernetesPulumiTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account