Named Core Account Executive - Industrial

Databricks
Northeast - United StatesPosted 20 March 2026

Job Description

SLSQ327R74 As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 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 value to Customers and System Integrators. 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 Automotive, Industrials and Logistics team within our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will manage a small set of clients in our Industrial subvertical. 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: Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. Drive value-based growth within the account. Expand the Databricks footprint into new business units and use cases. 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 customers. Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake Prioritize opportunities and leverage appropriate resources. Build a plan for success internally at Databricks and externally with your account What we look for: You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts The ability to simplify a technical capability into a value-based benefit 7+ years of Enterprise Sales experience exceeding quotas in larger accounts Managing a small set of enterprise accounts rather than a broad territory 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 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 . Zone 1 Pay Range $272,000 $374,000 USD Zone 2 Pay Range $272,000 $374,000 USD Zone 3 Pay Range $272,000 $374,000 USD Zone 4 Pay Range $272,000 $374,000 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 ... (truncated, view full listing at source)
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