Sr. Manager, Field Engineering
Databricks · Munich, Germany · Field Engineering - Other · listed June 1, 2026
The shape of it
Seniority
Manager
Where
Not stated
Requirements listed
9
Length
651 words
In the posting’s own words
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.
What it asks for · 9
- 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).
What the job covers
- 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.
Tools and skills named
Go to market
- Forecasting
- Partnerships
- SaaS
- Solutions architecture
Ways of working
- Mentorship2×
- Cross-functional
Data
- Databricks2×
Operations & finance
- Forecast accuracy
Words the posting leans on
- business7×
- customer6×
- data5×
- adoption4×
- engineering4×
- leadership4×
- model4×
- build3×
- building3×
- business outcomes3×
- executive3×
- impact3×
- market3×
- pre-sales3×
- sales3×
- scalable3×
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