SLSQ327R749
Candidates based in these locations preferred:
- New York
- New Jersey
- Connecticut
- Massachussetts
- Pennsylvania
As a Geo Core Account Executive supporting Digital Native customers at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. 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 be over enterprise accounts, and will be responsible for expanding consumption within existing business. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota.
The impact you will have:
- You will have a direct influence on the data strategy of the most disruptive 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 and grow existing 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 - 8 years of experience with Value Selling Methodologies
- A creative salesperson with a well-defined prospecting motion
- Sales experience within big data, Cloud, or SaaS sales
- Proven years of experience exceeding sales quotas
- Success closing new accounts while working on existing accounts
- Experience selling to FinTech companies preferred
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 base 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 anticipated 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.
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.
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.
Skills Required
- 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 - 8 years of experience with Value Selling Methodologies
- Creative salesperson with a well-defined prospecting motion
- Sales experience within big data, Cloud, or SaaS sales
- Proven years of experience exceeding sales quotas
- Success closing new accounts while working on existing accounts
- Experience selling to FinTech companies
- Candidate located in NY, NJ, CT, MA, or PA (preferred)
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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