On-site
SaaS
greenhouse
About this role
SLSQ427R461
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
- Remote - East Coast
As a Enterprise 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 map to 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.
Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.
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 b
Commission Structure
Base Salary
Not disclosed — ask in interview
Commission
Structure not specified
Ramp Period
Not mentioned — clarify timeline
Accelerators
Yes
Selling Motion
Sales Cycle
Enterprise
6–18 month cycles, complex multi-stakeholder deals
Buyer Persona
C-Suite
Selling to executive decision-makers
Requirements at a Glance
Typical Day — Account Executive
Estimates based on role type and selling motion — actual may vary by company.
Role Signals
Green Flags
Location flexibility
SaaS — Interview Intel
Typical Sales Cycle
30–90 days (SMB) · 3–9 months (Mid-Market) · 6–18 months (Enterprise)
Common Buyer Objections
- "We're locked into a contract with [competitor]"
- "We built something in-house already"
- "We don't have budget until next quarter"
- "Our team won't adopt another tool"
Key Industry Metrics
Hot Topics to Reference
- • AI-native product disruption
- • PLG vs sales-led motion debate
- • Vertical SaaS consolidation
- • Usage-based pricing models
Use these insights to speak the buyer's language in interviews.
Tags
Walk me through your discovery process.
Template questionHow do you handle a prospect who goes silent mid-deal?
Template questionTell me about your largest closed deal and the sales cycle.
Template questionHow do you build business cases for stakeholders?
Template questionDescribe a deal you lost and what you learned.
Template questionAs an Account Executive with Databricks, you'll own the entire revenue pipeline and be measured on quota attainment.
Expect to work with recurring revenue models where customer retention is as important as acquisition.
The US market offers the highest OTE potential globally for sales professionals, with a highly competitive talent landscape.
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