# Sr. Manager, Field Engineering

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Munich, Germany
**Role:** Sales Engineering
**Experience:** 5+ years
**Skills:** Data Engineering, Data Science, Analytics Platforms, Databases, SaaS, Forecasting, Customer Adoption, Consumption-Based Business Models, Pre-Sales, Solutions Architecture
**Posted:** 2026-08-11

> Leads and scales a pre-sales Solutions Architect organization in Germany while remaining involved in strategic customer engagements. The role combines people management, sales partnership, executive stakeholder engagement, and responsibility for adoption and consumption growth in a data and AI platform business.

## Job Description

## Responsibilities
- Build, lead, and scale the pre-sales (Solutions Architect) team for assigned customers in Germany, including hiring, coaching, performance management, career development, and account coverage ownership.
- Own pre-sales ROI and effectiveness, including coverage models, prioritization, and impact on win rate, sales cycles, and customer adoption.
- Act as a player-coach in key customer engagements while building repeatable motions, artifacts, and coaching mechanisms that scale team impact.
- Establish a solution- and value-based selling culture focused on business outcomes.
- Partner with Sales leadership on forecast accuracy, pipeline quality, and consumption growth in a usage-driven business model.
- Engage senior and executive customer stakeholders to build trusted relationships and long-term partnerships.
- Drive scalable adoption by establishing partner and professional-services attach and a clear pre-/post-sales handoff tied to consumption outcomes, including onboarding readiness, adoption milestones, and expansion paths.
- Represent Field Engineering as part of the regional team and contribute 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 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 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 ability to articulate an executive-level point of view on Databricks' value.
- Executive presence and ability to influence and communicate confidently with senior stakeholders.
- Fluent English required; fluent German highly preferred.

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