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Sales & Customer Success

Enterprise Account Executive - Sports (CMEG Vertical)

Databricks · United States

Sales & Customer SuccessUnited States$272,000 – $374,000 USD
RemoteJobs editorial overview

Strategic Overview

Enterprise Account Executive - Sports (CMEG Vertical) at Databricks is a sales-support opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as You will have a direct influence on the data strategy of the most innovative sports companies today You will build a plan for success internally at Databricks and externally with your accounts.

The role is listed for United States with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusSales & Customer Success
LocationUnited States
Experience4+ years of experience
Salary$272,000 – $374,000 USD
PostedOct 1, 2026
Last seenOct 25, 2026
Role context

About This Role

SLSQ427R461

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

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…

What the role delivers

Key Responsibilities & Objectives

  • You will have a direct influence on the data strategy of the most innovative sports companies today
  • You will build a plan for success internally at Databricks and externally with your accounts
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 4+ years of experience with Open Source Technologies and build vs buy decision-making
  • 4 - 6 years of experience with Value Selling Methodologies
  • Proven years of experience exceeding sales quotas
Compensation & benefits

Salary & Benefits

Published compensation: $272,000 – $374,000 USD

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This sales-support opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly You will have a direct influence on the data strategy of the most innovative sports companies today — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencygreenhouse

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.