Named Core Account Executive - Retail & HLS

Databricks
Munich, GermanyPosted 24 February 2026

Job Description

<p>SLSQ427R159</p> <p> </p> <div class="p-pdf_iframe__page" data-page-number="2"> <div class="textLayer" data-main-rotation="0"> <p>Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to drive the accelerated innovation they need to gain first‑mover advantage in an ultra‑competitive landscape.</p> <p>As we continue our rapid expansion across Central Europe, we are looking for a creative, experienced Named Account Executive to take the lead on two of Germany’s key enterprise accounts in the Retail and HLS verticals. Reporting to the Director of Enterprise Sales, you will build and deepen strategic relationships, lead high‑impact commercial opportunities and take ownership for delivering performance against ambitious targets - giving you the opportunity to shape the customer’s data and AI strategy, identify and progress high‑value opportunities and turn them into measurable business outcomes.​</p> <p><strong>The impact you will have:</strong></p> <ul> <li>You will take full ownership of these key customers, setting a bold strategy to outperform ambitious revenue and consumption goals.</li> <li>You will execute with pace and precision, turning strategy into action and consistently exceeding your targets.</li> <li>You will build true boardroom‑level trust, acting as the go‑to data and AI advisor for senior and C‑level stakeholders.</li> <li>You will continuously create and shape new business, expanding strategic use cases and driving deep, long‑term platform adoption.</li> <li>You will mobilise the full Databricks ecosystem to unlock maximum value and measurable outcomes for the customer.</li> <li>You will lead high‑stakes, insight‑led negotiations, successfully closing complex, multi‑year opportunities.</li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>You will have experience developing strong relationships with large Enterprise accounts, managing virtual teams, and leading complex sales campaigns </li> <li>You will have experience of selling Big Data, Data AI/Analytics or complex cloud technology solutions into large accounts.</li> <li>Proof of exceeding sales quotas in high-growth Enterprise software companies</li> <li>Experience and/or good understanding of the Retail and/or Life Sciences verticals would be advantageous</li> <li>You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams</li> <li>You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)</li> <li>You will have experience co-developing business cases and gaining support from C-level Executives</li> <li>You leverage sales methodologies such as value-based selling, MEDDPIC, Challenger sales to manage and close sales opportunities.</li> <li>We are a customer first company therefore travel to be onsite with your customers is required (up to 40% travel)</li> <li>Fluency in German and English is essential.</li> </ul> <p>#LI-HS4</p> </div> </div> <p data-renderer-start-pos="2729"> </p><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">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 <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databrickssource=gmailust=1700237575733000usg=AOvVaw03FL8fJvOD97ytN02f ... (truncated, view full listing at source)