Manager, Field Engineering - Eastern Europe
Listed on 2026-09-04
-
IT/Tech
Sales Engineer, Technical Sales -
Sales
Sales Engineer, Technical Sales
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Manager, Field Engineering - Eastern EuropeZürich, 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.
- 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 .
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