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Manager, Field Engineering - Eastern Europe

Job in Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listing for: Databricks Inc.
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Sales Engineer, Technical Sales
  • Sales
    Sales Engineer, Technical Sales
Salary/Wage Range or Industry Benchmark: 180000 - 260000 CHF Yearly CHF 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

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Manager, Field Engineering - Eastern Europe

Zürich, Switzerland

FEQ
427R475

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 serve as a pivotal technical leader driving Databricks’ market expansion and customer acceleration across the EE region.

In this role, you will partner with Enterprise Sales leadership to technical sales cycles, build strategic C-level alignment, and establish a repeatable technical motion. You will balance strategic regional planning with hands‑on technical guidance helping your team architect modern Data & AI solutions while maintaining a bar‑raising, inclusive engineering culture.

The Impact You Will Have
  • 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 round tables, and developer events.
What We Look 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.
  • Executive Presence: Strong communication, whiteboarding, and storytelling skills; adept at translating complex distributed systems concepts into clear executive business drivers.
  • Regional Language Capabilities: Professional fluency in English is required. Fluency in one or more Eastern European languages (e.g.,
    Polish
    , Greek, Romanian, Bulgarian, or Czech) is strongly preferred.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

To learn more, follow Databricks on Linked In , X , You Tube , and Instagram .

Benefits

At Databricks, we strive to…

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