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A leading data and AI company is seeking a Field Engineering Manager for Strategic Accounts in Germany. The role focuses on leading the pre-sales Solutions Architect team, driving effectiveness and ROI, and engaging with C-level executives. Candidates should have experience in managing technical field teams in high-growth environments, strong backgrounds in data engineering, and be fluent in German and English. The position plays a crucial part in scaling a consumption-based business model across strategic customers in the region.
FEQ327R117
As a Field Engineering Manager for Strategic Accounts Germany, you will lead and scale Databricks’ pre‑sales Solutions Architect organisation in Germany. You own the effectiveness, impact, and ROI of pre‑sales engagement across strategic customers and act as a key leadership partner to Sales, Marketing, and Partners.
This role combines people leadership, business ownership, and executive engagement. You will operate as a player‑coach in critical deals while building a high‑performing, scalable field‑engineering organisation for a consumption‑based business.
You report to the Director, Field Engineering.
The impact you will have:
What we look for:
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 benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
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.
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.