高级市场进入（GTM）分析工程师（AI 与数据管道）
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Senior Go-To-Market (GTM) Analytics Engineer (AI & Pipelines)Databricks · Belgrade, Serbia
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职位描述
机器翻译SLSQ327R638
GTM Solutions & Governance 团队隶属于 GTM StratOps/Analytics (SGO)，其任务是让我们的 GTM 数据资产值得信赖、内容丰富且可自助使用。作为与传统分析不同的独立职能，我们负责构建在我们数据之上的先进 AI/代理解决方案和复杂自动化。您将与 GTM Automation、GTM Alerting、Peer Similarity 和 Data Governance 领域的专家并肩工作，共同提升我们 GTM 组织的运营方式。
岗位职责
我们正在寻找一位资深 GTM 分析工程师，来构建先进的生成式 AI 应用、自动化管道和代理式解决方案，以优化我们的收入运营。您将负责开发处理结构化和非结构化数据的数据管道，架构 Agentic CDP 等高级 AI 实现，并推动我们内部的 Databricks on Databricks (DBX@DBX) 计划。
核心职责
• Agentic CDP 与身份解析：架构并部署 Agentic 客户数据平台 (CDP) 能力，以执行智能身份解析，为账户和联系人推动自动化且高度准确的数据丰富。
• GenAI 与代理架构：设计由 LLM 驱动的系统和内部代理，以自动化 KPI 根因分析、生成业务洞察并简化 GTM 沟通。
• 高级数据管道：构建并管理复杂的数据管道，以处理结构化和非结构化数据，确保为 GTM 数据资产提供高保真输入，同时与现有治理框架无缝集成。
• GTM 系统集成：理解技术栈以及数据如何在 Salesforce、Xactly 和 6sense 等关键系统之间流动，以确保统一的数据架构。
• 跨职能合作：直接与销售、营销和 RevOps 领导者合作，将战略性业务问题转化为可扩展、数据驱动的 AI 解决方案。
我们寻找什么样的人
• 技术栈：您精通 Python、SQL 和现代数据管道。您还拥有 Salesforce 或同等 CRM 系统的经验。
• 平台专长：您将每天使用 Databricks 的 lakehouse 平台处理各种数据。您将成为使用 Databricks 及互补 AI 技术构建生产级解决方案的专家。
• 领域经验：您通常拥有数据工程、数据科学或高级分析方面的丰富经验，并具备与 B2B 销售、营销或财务数据密切合作的背景。
• 高级分析背景：您在 B2B SaaS、机器学习和生成式 AI 部署方面拥有出色的业绩记录。
• 执行思维：您能在协作环境中表现出色，并将团队成员的需求转化为清晰的交付成果。您能轻松应对依赖关系、瓶颈和权衡取舍。
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 强企业——依赖 Databricks Data + AI Platform 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。如需了解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，我们致力于营造多元包容的文化，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受出口管制的技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，且雇主可能仅基于此原因而拒绝继续推进某位申请人。
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。
查看雇主原文
职位描述
SLSQ327R638
The GTM Solutions & Governance team sits within GTM StratOps/Analytics (SGO) and is tasked with making our GTM data estate trustworthy, enriched, and self-serviceable. As a distinct function from traditional analytics, we own the advanced AI/agent solutions and complex automation built on top of our data. You will work alongside experts in GTM Automation, GTM Alerting, Peer Similarity, and Data Governance to elevate how our GTM organization operates.
岗位职责
We are looking for a Senior GTM Analytics Engineer to build advanced generative AI applications, automated pipelines, and agentic solutions to optimize our revenue operations. You will own the development of data pipelines handling both structured and unstructured data, architect high-level AI implementations like Agentic CDPs, and drive our internal Databricks on Databricks (DBX@DBX) initiatives.
Core Responsibilities
• Agentic CDP & Identity Resolution: Architect and deploy Agentic Customer Data Platform (CDP) capabilities to perform intelligent identity resolution, driving automated and highly accurate data enrichment for accounts and contacts.
• GenAI & Agent Architecture: Design LLM-powered systems and internal agents to automate KPI root-cause analysis, generate business insights, and streamline GTM communication.
• Advanced Data Pipelines: Build and manage complex data pipelines to process structured and unstructured data, ensuring high-fidelity inputs for the GTM data estate while seamlessly integrating with our existing governance frameworks.
• GTM Systems Integration: Understand the technology stack and how data flows between critical systems like Salesforce, Xactly, and 6sense to ensure unified data architecture.
• Cross-Functional Partnership: Partner directly with Sales, Marketing, and RevOps leaders to turn strategic business problems into scalable, data-driven AI solutions.
What We Look For
• Technical Stack: You have expert proficiency in Python, SQL, and modern data pipelines. You also have experience with Salesforce or equivalent CRM systems.
• Platform Expertise: You will work every day with a variety of data using Databricks’ lakehouse platform. You will become an expert in using Databricks and complementary AI technologies to build production-grade solutions.
• Domain Experience: You typically have strong experience in data engineering, data science, or advanced analytics, with a background working closely with B2B sales, marketing, or finance data.
• Advanced Analytics Background: You have a strong track record in B2B SaaS, machine learning, and generative AI deployment.
• Execution Mindset: You excel in a collaborative environment and translate team member needs into clear deliverables. You work through dependencies, bottlenecks, and tradeoffs with ease.
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.