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Databricks — Seattle, Washington
FEQ327R396 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail, Travel Hospitality and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML AI.
You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML AI within a range of use cases important to the target accounts in the Retail, Travel Hospitlity and CPG space.
Nice To Have
: Databricks Certification
Benefits
Comprehensive health coverage including medical, dental, and vision 401(k) Plan Equity awards Flexible time off Paid parental leave Family Planning Gym reimbursement Annual personal development fund Employee Assistance Program (EAP) Pay Range Transparency Databricks is committed to fair and equitable
listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $180,000 $247,500 USD 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 .
At Databricks, we strive to provide comprehensive
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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.
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.
package for this position may also include eligibility for annual performance bonus, equity, and the
Benefits And Perks
that meet the needs of all of our employees.