现场首席技术官 - 美洲行业
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Field CTO - America IndustriesDatabricks · 美国
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职位描述
机器翻译FEQ426R758
Databricks 正在为美洲行业业务部门招聘一位现场首席技术官(Field CTO),担任面向客户的高级技术与业务转型思想领袖,服务于我们在受监管行业中最重要的、往往是全球性的战略客户。该独立贡献者角色处于数据与 AI 战略、行业转型和高管关系建设的交汇点,与 C 级领导者紧密合作,在数据平台上推动多年期变革,同时将现实需求反馈给 Databricks。
你将产生的影响:
• 与大型美国及全球客户(尤其是高度受监管行业:金融服务、公共部门、医疗健康、制造业)的 C 级高管(CIO、CDO、CTO、CISO、业务 CO)建立并维护可信顾问关系。
• 主动在客户高管、董事会、关键行业机构和合作伙伴之间培育强大的社交与专业网络,了解应与哪些组织和论坛互动,以打开与合适利益相关者的大门。
• 塑造高管对现代数据与 AI 架构的思考,重点强调 Lakehouse 和数据平台现代化,将其作为实现长期 Gen AI 影响的主要杠杆。
• 主导 C 级简报会、战略会议和为期多天的研讨会,将业务成果、监管约束和运营模式变革与基于 Databricks 的具体路线图联系起来。
• 作为现场深度技术对接人,保持对 Databricks 产品 L200–L300 的熟练程度,并能够可信地与架构师、数据工程师和数据科学家就解决方案设计和权衡进行交流。
• 将现场模式归纳为可复用的参考架构、行业蓝图和受监管行业最佳实践,并通过博客、网络研讨会、白皮书和会议主题演讲进行分享。
• 围绕客户目标协调更广泛的生态系统(云提供商、GSI、咨询公司、ISV),确保 Databricks 处于多年期转型计划的核心,而不是孤立项目之中。
• 与客户经理、解决方案架构师、行业负责人和产品专家合作,推动复杂的多年期销售周期,确保平台决策和扩展,同时影响 ACV 和消费增长。
• 将来自战略客户的结构化、按优先级排序的反馈提供给产品、工程和现场领导层,以影响产品路线图,尤其是围绕数据、治理、安全和受监管行业需求。
• 指导高级现场工程和行业聚焦人才,为首席级和 CTO 级领导者的人才梯队做出贡献,并沉淀复杂、受监管客户的工作方式。
我们寻找的人才:
• 15 年以上企业技术和咨询经验,包括在大型复杂组织中领导或顾问参与多年期数据平台和分析转型。
• 在大型企业软件或云公司(例如 Microsoft 或类似公司)有大量工作经历,担任过需要驾驭矩阵式组织并大规模推动变革的职位,同时具备直接的行业经验,而不是仅从事横向软件的职业经历。
• 在受监管行业(金融服务、医疗健康、公共部门、受监管制造业、公用事业)有经验或与之合作的经验,并熟悉影响数据和 AI 平台的监管与合规考量。
• 兼具以下背景:
• 数据平台和分析方面的实操技术与架构工作。
• 组织和运营模式变革(工作方式、技能、治理)。
• 高管咨询或顾问,最好能看到转型从战略到多年期执行的全过程,而不仅仅是战略演示文稿。
• 已证明有能力作为 C 级高管高度可信的同行开展工作,推动以业务成果为重点的对话,同时在需要时深入技术细节。
• 强大且主动的社交者,天生好奇哪些协会、理事会和论坛对特定客户群体重要,并利用这些网络创造新的高管接触点和机会。
• 在过往职位中展现出长期性和影响力,有建立并维持长期客户关系和计划的证据,而不是频繁的短期任职。
福利待遇
在 Databricks,我们致力于提供满足所有员工需求的全面福利和津贴。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,我们致力于培育多元包容的文化,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,且雇主可能仅基于此原因拒绝继续推进申请人。
薪资
Databricks 致力于公平和公正的薪酬实践。该职位的薪酬范围列于下方,代表非佣金制职位的预期薪资范围或佣金制职位的目标收入。实际薪酬方案基于每位候选人独有的若干因素,包括但不限于与工作相关的技能、经验深度、相关认证和培训,以及具体工作地点。基于上述因素,Databricks 预计会使用该范围的全部宽度。该职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利的资格。如需了解您所在地点属于哪个范围的更多信息,请访问我们的页面此处。
当地薪酬范围 $249,800 — $343,400 USD
关于 Databricks
Databricks 是数据与 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 Fortune 500——依赖 Databricks Data + AI Platform 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。
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
FEQ426R758
Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Americas Industries Business Unit to be a senior, customer-facing technology and business transformation thought leader for our most strategic, often global, accounts in regulated industries. This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.
Impact you will have:
• Build and maintain trusted-advisor relationships with C-level executives (CIO, CDO, CTO, CISO, business COs) in large US-based and global accounts, especially in highly regulated industries (financial services, public sector, healthcare, manufacturing).
• Proactively cultivate a strong social and professional network across customer executives, boards, key industry bodies, and partners, knowing which organizations and forums to engage to open doors with the right stakeholders.
• Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.
• Lead C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.
• Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.
• Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes.
• Orchestrate the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects.
• Partner with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth.
• Provide structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements.
• Mentor senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts.
What we look for:
• 15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.
• Significant time spent inside a large enterprise software or cloud company (e.g., Microsoft or similar) in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software.
• Experience in or with regulated industries (financial services, healthcare, public sector, regulated manufacturing, utilities), with familiarity with regulatory and compliance considerations affecting data and AI platforms.
• Background that blends:
• Hands-on technology and architecture work on data platforms and analytics.
• Organizational and operating model change (ways of working, skills, governance).
• Executive consulting or advisory, ideally seeing transformations through from strategy to multi-year execution, not only strategy decks.
• Proven ability to operate as a highly credible peer to C-level executives, driving business-outcome-focused conversations while also diving deep into technical details when needed.
• Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities.
• Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.
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.
薪资
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Local Pay Range $249,800 — $343,400 USD
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 .