现场工程经理 - 波兰语
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Manager, Field Engineering - Polish speakerDatabricks · Zürich, 瑞士
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职位描述
机器翻译FEQ427R475
作为现场工程经理，您将领导、辅导并扩展一支由技术售前解决方案架构师和解决方案工程师组成的高绩效团队，覆盖东欧地区。您将处于复杂云架构与企业业务价值的交汇点，作为关键的技术领导者，推动 Databricks 在 EE 地区的市场扩张和客户加速。
在这一职位上，您将与企业管理层销售领导合作，推动技术销售周期，建立战略性的 C 级对齐，并建立可重复的技术推进机制。您将平衡战略性区域规划与实操技术指导，帮助您的团队构建现代数据与 AI 解决方案，同时保持不断提升标准、包容的工程文化。
您将产生的影响
• 扩展并赋能技术人才：在东欧地区招聘、入职并指导一支顶级售前工程团队，维护强大的人才储备，并促进在 Databricks 数据智能平台上的持续技术赋能
• 推动基于消费的增长：与销售领导紧密合作，准确预测、进行技术资格认定并加速企业销售周期，将技术验证（PoC/PV）直接与长期消费和可衡量的客户 ROI 挂钩。
• 培育价值工程化解决方案：建立严格的售前方法论，将对话从功能清单转向战略性业务成果，使您的团队成为客户 CTO、CDO 和首席 AI 官信赖的架构顾问。
• 建立高管与战略对齐：直接与关键客户高管以及区域系统集成商（SI）/云服务提供商（CSP）合作伙伴互动，以确保参考架构、联合销售机制和成功的下游实施策略。
• 培育包容、以构建者优先的文化：倡导以客户为中心、高度协作的工程团队文化，植根于技术好奇心、架构卓越和思想多样性。
• 扩大区域品牌与市场影响力：与区域营销和现场领导合作，作为东欧的关键技术领导者，推动社区参与、高管圆桌会议和开发者活动。
我们寻找什么样的人
• 售前工程领导力：在超高速增长的 SaaS、云或企业数据/AI 生态系统中，拥有构建、辅导和扩展技术售前或解决方案架构团队的可靠业绩记录。
• 深厚的领域专业知识：至少在一个核心技术领域拥有实践者或技术顾问背景。
• 消费与商业敏锐度：对消费驱动的 SaaS 商业模式、技术管道管理和战略交易资格认定框架（例如 MEDDPICC）有实操理解。
• 架构权威：能够审查、挑战并影响复杂的多云数据架构（AWS、Azure、GCP），以立即赢得客户工程团队和内部产品领导者的信任。
• 高管风范：出色的沟通、白板演示和讲故事能力；擅长将复杂的分布式系统概念转化为清晰的高管业务驱动因素。
• 区域语言能力：要求具备专业流利的英语。强烈优先考虑精通一种或多种东欧语言（例如波兰语（优先）、希腊语、罗马尼亚语、保加利亚语或捷克语）。
关于 Databricks
Databricks 是一家数据与 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever 以及 70% 的《财富》500 强——依赖 Databricks 数据 + AI 平台来构建和扩展数据与 AI 应用、分析和代理。Databricks 总部位于旧金山，在全球拥有 30 多个办事处，提供统一平台，包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息，请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
福利待遇
在 Databricks，我们致力于提供全面的福利和津贴，以满足所有员工的需求。有关您所在地区所提供福利的具体详情，请点击此处。
我们对多元与包容的承诺
在 Databricks，我们致力于培育多元和包容的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性，并符合平等就业机会标准。在 Databricks 寻求就业的个人，不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份以及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问出口管制技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，并且雇主可能仅基于此原因拒绝继续推进申请人。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
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, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
福利待遇
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 here .
Our Commitment to Diversity and Inclusion
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 inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.