Sr. Manager, Field EngineeringDatabricks · Munich, Germany
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Databricks

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Sr. Manager, Field Engineering

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🗓️ Posted 2026-07-24 Munich, Germany Hybrid ICT
💰 Salary Not shared 📊 Market 10,000 EUR–15,000 EUR/mo

About the Company

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.

Responsibilities

  • ● 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.

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).