The Sr. Manager, Field Engineering role combines people leadership, business ownership, and executive engagement to build a high-performing, scalable field-engineering organisation for a consumption-based business.
Requirements
- Proven experience building and managing pre-sales or technical field teams in a high-growth environment.
- Strong background in data engineering, analytics platforms, databases, or data science, gained through engineering, consulting, or technical leadership roles.
- Demonstrated success in consumption-based or SaaS business models, including forecasting, expansion, and customer adoption.
- Ability to operate as a player-coach, balancing hands-on deal involvement with scalable team leadership.
- Track record of partnering effectively with Sales and cross-functional leaders to drive measurable business outcomes.
- Experience establishing repeatable processes that improve efficiency without limiting innovation or ownership.
- Passion for the data and AI market and the ability to articulate a clear, executive-level POV on the value of Databricks.
- Executive presence with the ability to influence and communicate confidently with senior stakeholders.
- Fluent German (highly preferred) and fluent English (required).
Benefits
- Comprehensive benefits and perks
- Opportunity to work with a diverse and inclusive culture
- Equal employment opportunity standards
