Synced from Greenhouse · Jul 1

Sales Director, Enterprise Retail

DatabricksRemote - New YorkPosted Jul 1, 2026
Account ExecutiveRemoteExecutive
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$440k–$605k
Compensation
887
Other open Databricks roles
Jul 1
Posted
Greenhouse
Applicant system
Job descriptionReq 8568151002

SLSQ327R394

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

  • Remote - NYC
  • Remote - NJ
  • Remote - Atlanta
  • Remote - Boston
  • Remote - Chicago 

We are looking for a Sales Director to join our growing business. You will lead an existing team of Strategic Enterprise Account Executives and you will be measured by achieving your team’s overall quota and growing Databricks usage. This is a team of Strategic Account Executives that are passionate about building a data ecosystem, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Regional Vice President.

The impact you will have:

  • Lead, grow and inspire the Strategic Enterprise Account Executives to help them overachieve on their goals and objectives.
  • Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.
  • Develop trust-based relationships with customers and partners to ensure long-term success.
  • Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions.
  • Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business.

What we look for:

  • You live the Databricks’ core values and instill them in the team you are leading.
  • You will have 5+ years of successfully building and leading high-growth sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.
  • History of exceeding quota and thriving in hyper-growth Enterprise technology companies.
  • Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message.
  • Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success.
  • Strong Retail industry experience is preferred 
  • With this role, a proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical. 

 

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
$440,000—$605,000 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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Sales Director, Enterprise Retail
Databricks · Remote - New York
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