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Manager, Field Engineering - Polish speaker

Lead and scale a high-performing team of technical pre-sales Solutions Architects and Engineers across Eastern Europe.

Location
Zürich, Switzerland
Compensation
Not disclosed
Level
lead
Type
full time

Posted by employer 2 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 2 days ago

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In the role of Field Engineering Manager at Databricks, the individual will lead a team of pre-sales Solutions Architects and Engineers, focusing on driving technical sales and customer engagement across Eastern Europe. Key skills include expertise in cloud architecture, a strong grasp of consumption-driven SaaS models, and the ability to communicate complex technical concepts to executives. This position is ideal for someone with a proven track record in pre-sales engineering leadership, particularly within the SaaS or Cloud sectors, who can foster a collaborative and inclusive team culture.

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze September 2, 2026. Last confirmed on Databricks's careers page October 30, 2026.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: AI, Cloud, Data, Data Intelligence Platform, SaaS.
What seniority level is this role?
Databricks targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Manager, Field Engineering - Polish speaker role at Databricks.

From the original posting

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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 roundtables, 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 (preferred), Greek, Romanian, Bulgarian, or Czech) is strongly preferred.

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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