Europe Arbeitnow ·
full-timeManager, Field Engineering - Polish Speaker
Databricks · Zürich
FEQ427R475 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 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,
| Role | Manager, Field Engineering - Polish Speaker |
|---|---|
| Company | Databricks |
| Location | Zürich |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Databricks
Databricks is a data and AI company that provides a unified platform built on an open lakehouse architecture. The platform is designed to help organizations manage data, analytics, and AI governance in one place, enabling both technical teams and general users to build, deploy, and manage production-ready applications and AI agents. Founded in 2013 by the creators of the lakehouse architecture and several open-source projects, the company focuses on democratizing data insights through automation and natural language tools. Databricks serves over 20,000 customers globally, including more than 60% to 70% of the Fortune 500. Headquartered in San Francisco, the company maintains a global presence supported by a network of over 1,200 cloud, ISV, and consulting partners.
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