Sr. Manager, Field Engineering

FEQ427R180

The data and AI market is at an inflection point: organisations are moving from isolated pilots to platform decisions that shape how they build operate and scale for years to come. This creates a significant opportunity to help customers turn data and AI investments into measurable business outcomes.

This role combines people leadership business ownership and executive engagement. You will operate as a player-coach in key 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

• Build lead and scale the pre-sales (Solutions Architect) team for your assigned customers in Germany including hiring coaching performance management and career development and owning coverage across your account portfolio.
• Own pre-sales ROI and effectiveness including coverage models prioritisation and impact on win-rate sales cycles and customer adoption.
• Act as a player-coach by balancing hands-on involvement in key customer engagements with building repeatable motions artefacts and coaching mechanisms that scale impact across the team.
• Establish and reinforce a solution- and value-based selling culture focused on business outcomes not just technical excellence.
• Partner closely with Sales leadership to support forecast accuracy pipeline quality and consumption growth in a usage-driven business model.
• Engage with senior and executive stakeholders at customers to build trusted relationships and long-term partnerships.
• Drive a scalable adoption model by anchoring partner and PS attach and establishing a crisp pre-/post-sales handshake tied to consumption outcomes (onboarding readiness adoption milestones expansion path).
• Represent Field Engineering as part of the regional team contributing to Databricks brand market positioning and growth in Germany.

What we look for

• 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).