<p data-pm-slice="1 1 []">FEQ427R475</p> <p>As a <strong>Field Engineering Manager</strong>, 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.</p> <p>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.</p> <h2><strong>The Impact You Will Have</strong></h2> <ul> <li><strong>Scale & Enable Technical Talent:</strong> 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 <strong>Databricks Data Intelligence Platform</strong></li> <li><strong>Drive Consumption-Based Growth:</strong> 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.</li> <li><strong>Cultivate Value-Engineered Solutions:</strong> 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.</li> <li><strong>Build Executive & Strategic Alignment:</strong> 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.</li> <li><strong>Foster an Inclusive, Builder-First Culture:</strong> Promote a customer-obsessed, highly collaborative engineering team culture rooted in technical curiosity, architectural excellence, and diversity of thought.</li> <li><strong>Expand Regional Brand & Market Presence:</strong> 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.</li> </ul> <h2><strong>What We Look For</strong></h2> <ul> <li><strong>Pre-Sales Engineering Leadership:</strong> 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.</li> <li><strong>Deep Domain Expertise:</strong> Background as a practitioner or technical consultant in at least one core technical domain.</li> <li><strong>Consumption & Commercial Acumen:</strong> Hands-on understanding of consumption-driven SaaS business models, technical pipeline management, and strategic deal-qualification frameworks (e.g., MEDDPICC).</li> <li><strong>Architectural Authority:</strong> 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.</li> <li><strong>Executive Presence:</strong> Strong communication, whiteboarding, and storytelling skills; adept at translating complex distributed systems concepts into clear executive business drivers.</li> <li><strong>Regional Language Capabilities:</strong> Professional fluency in English is required. Fluency in one or more Eastern European languages (e.g., <strong>Polish (preferred)</strong>, Greek, Romanian, Bulgarian, or Czech) is strongly preferred.</li> </ul><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">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 <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclu