The posting, in Databricks's own words
archived Sep 10, 2026SLSQ427R472 As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Large Pharmaceutical accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow a single strategic pharma account. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. 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 Strategic Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Strategic Life Sciences Sales, you will map to one enterprise client under the Life Sciences umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client
The impact you will have:
Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners Grow a strategic pharma account Identify and close quick, small wins while managing longer, complex sales cycles Exceed activity, pipeline, and revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Use a solution-based approach to selling and creating value for your customer Promote Databricks' enterprise cloud data platform powered by Apache Spark™ Ensure 100% satisfaction among your customer Prioritize opportunities and apply appropriate resources Build a plan for success internally at Databricks and externally with your accounts
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What we look for:
You have previously worked in an early-stage company, and you know how to navigate and be successful Field sales experience within big data, Cloud, or SaaS sales Experience managing large, complex Life Sciences accounts is preferred. Prior customer relationships with CIOs, program managers, and essential decision makers Simply articulate intricate cloud technologies 7+ years of experience exceeding sales quotas Success working with and growing existing accounts Understanding of Spark and big data preferable Passion for cloud technologies Bachelor's 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 .