Manager, Field Engineering - Polish speakerActive

Databricks
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The opportunity

As a Field Engineering Manager , you will lead, coach, and scale a high-performing team of technical pre-sales Solutions Architects and Solutions Engineers across Eastern Europe. Positioned at the intersection of complex cloud architecture and enterprise business value, you will…

What you'll do

  • Scale & Enable Technical Talent: Hire, onboard, and mentor a top-tier pre-sales engineering team across Eastern Europe, maintaining a robust talent pipeline and fostering continuous technical enablement on the Databricks Data Intelligence Platform

  • Drive Consumption-Based Growth: Partner closely with Sales leadership to accurately forecast, technically qualify, and accelerate enterprise sales cycles, linking technical validations (PoCs/PVs) directly to long-term consumption and measurable customer ROI.

  • Cultivate Value-Engineered Solutions: Institute rigorous pre-sales methodologies that shift conversations from feature lists to strategic business outcomes, establishing your team as trusted architectural advisors to customer CTOs, CDOs, and Chief AI Officers.

  • Build Executive & Strategic Alignment: Engage directly with key customer executives and regional System Integrator (SI) / Cloud Service Provider (CSP) partners to secure reference architectures, co-selling motions, and successful downstream implementation strategies.

  • Foster an Inclusive, Builder-First Culture: Promote a customer-obsessed, highly collaborative engineering team culture rooted in technical curiosity, architectural excellence, and diversity of thought.

  • Expand Regional Brand & Market Presence: Act as a key technical leader in Eastern Europe in partnership with Regional Marketing and Field Leadership to drive community engagement, executive roundtables, and developer events.

What they're looking for

  • Pre-Sales Engineering Leadership: Proven track record of building, coaching, and scaling technical pre-sales or solutions architecture teams within a hyper-growth SaaS, Cloud, or Enterprise Data/AI ecosystem.
  • Deep Domain Expertise: Background as a practitioner or technical consultant in at least one core technical domain.
  • Consumption & Commercial Acumen: Hands-on understanding of consumption-driven SaaS business models, technical pipeline management, and strategic deal-qualification frameworks (e.g., MEDDPICC).
  • Architectural Authority: Ability to review, challenge, and influence complex multi-cloud data architectures (AWS, Azure, GCP) to earn the immediate trust of customer engineering teams and internal product leaders.