Enterprise Account Executive - Sports (CMEG Vertical) at Databricks

Job description

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 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, SaaS, and a consumption selling motion Proven years of experience exceeding sales quotas Success closing new accounts Bachelors Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.

Requirements

Must-haves

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Remote - East Coast
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
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, SaaS, and a consumption selling motion
Proven years of experience exceeding sales quotas
Success closing new accounts
Bachelors Degree
Our Commitment to Diversity and Inclusion

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: greenhouse
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