Databricks
Technology
Sr.Manager,FieldEngineering
Neural analysis suggests this role is
optimal for Manager candidates.
“Sr. Manager, Field Engineering at Databricks. Skills: Field Engineering, Team leadership, Data and AI. Build pre-sales team. Lead pre-sales team”
What You'll Achieve.
Turn data investments into outcomes; Turn AI investments into outcomes; Drive measurable business outcomes; Achieve consumption growth; Achieve onboarding readiness; Achieve adoption milestones; Establish expansion path
Industry & Context.
What They're Looking For.
Must Have
Fluent English required, Proven experience building and managing pre-sales or technical field teams, Background in data engineering, analytics platforms, or databases, Demonstrated success in consumption-based or SaaS business models, Ability to operate as a player-coach, Track record of partnering effectively with Sales and cross-functional leaders, Experience establishing repeatable processes
Nice to Have
Fluent German highly preferred
What You'll Do.
Manage team performance
Own coverage across accounts
Own pre-sales effectiveness
Manage coverage models
Manage prioritisation
Impact customer adoption
Involve in key engagements
Build repeatable motions
Build coaching mechanisms
Establish selling culture
Focus on business outcomes
Partner with Sales leadership
Support forecast accuracy
Support pipeline quality
Support consumption growth
Engage with senior stakeholders
Engage with executive stakeholders
Build trusted relationships
Build long-term partnerships
Anchor partner attach
Establish pre-/post-sales handshake
Tie handshake to consumption outcomes
Represent Field Engineering
Contribute to Databricks' brand
Contribute to market positioning
How You'll Work.
Team & Collaboration
Sales leadership; Cross-functional leaders; Senior stakeholders; Executive stakeholders; Regional team
Communication Scope
Executive-level POV
Full Job Description
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 technica
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