现场工程总监 - 金融服务
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Director, Field Engineering - Financial ServicesDatabricks · Georgia; Illinois; New York; Texas; Washington, D.C.
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职位描述
机器翻译FEQ327R500
作为现场工程总监，您将负责与我们的企业客户合作，利用 Databricks 解决方案和专业知识，在其组织内实现数据与 AI 的民主化，以应对他们最关键的挑战。
该职位向金融服务现场工程技术总经理汇报，现场工程总监将领导一支由售前经理和解决方案架构师组成的团队，专注于新客户的获取。您还将与各种内部和外部合作伙伴合作，并负责推动战略和执行，以实现我们的宏伟目标。您将营造一种心理安全的氛围，以培养和发展一支在企业软件、大数据/分析、数据工程和数据科学方面经验丰富的团队。您与销售组织合作的经验将有助于以正确的方式达成收入机会，同时指导新的销售和售前团队成员协同工作。您将指导和参与以提升团队的效率；成为沟通复杂的、以业务价值为重点的解决方案的专家；支持复杂的销售周期，并与大型企业中的关键利益相关者建立关系。
您将产生的影响：
• 招聘并管理一线经理以及一支不断壮大的技术售前解决方案架构师团队。
• 在快速增长的团队中建立协作文化。体现并推广 Databricks 以客户为中心、追求真相、多元化的文化以及第一性原理思维
• 与客户建立基于信任的长期关系，并了解您所在行业和子垂直领域、格局和趋势，以帮助影响我们客户的发展方向。
• 推动以解决方案和价值为导向的销售现场工程组织。
• 展现对指定区域内客户的业务需求和收入潜力的理解。
• 成为 Databricks 以及数据与 AI 生态系统中的思想领袖。
我们寻找的人才：
• 至少 3 年二线领导经验，管理过 30 人以上的团队，以及 10 年以上的整体领导经验
• 在知名软件或云提供商担任高级职位期间，拥有相关的高增长企业软件售前成功经验。
• 有能力提升参与度，并有推动大型交易和高增长客户的过往业绩。
• 具有经证实的领导能力，能够以团队方式影响、发展和赋能您的团队以实现目标。
• 推动运营严谨性以管理高增长业务，以恰当的节奏、推动力、可见度以及对客户问题和功能请求的支持。
• 具有经证实的转型成功和交付客户价值的过往业绩。
• 有建立强大的高价值客户关系和跨职能合作伙伴关系（销售、工程、营销）生态系统的过往业绩。
• 在复杂的战略客户中定位解决方案并找到共同价值路径的经验，以及在 Databricks 平台上实现持久消费的经验
• 擅长为技术现场成员制定流程以提高效率。
• 计算机科学、信息系统、工程学士学位，或通过工作经验获得的同等经验。
福利待遇
在 Databricks，我们努力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。
我们对多元化和包容性的承诺
在 Databricks，我们致力于营造一种多元化和包容性的文化，让每个人都能脱颖而出。我们非常谨慎地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、社会经济地位、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接触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，雇主也可能仅以此为由拒绝继续处理申请人的申请。
薪资
Databricks 致力于公平公正的薪酬实践。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 预计将使用该范围的完整宽度。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。如需了解您所在地区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 $218,400 — $300,300 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《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，提供统一的平台，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。
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职位描述
FEQ327R500
As the Director of Field Engineering, you will be responsible for partnering with our enterprise customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical challenges.
Reporting to the Tech GM of Field Engineering for Financial Services, the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects, focusing on acquisition of new customers. You will also work with various internal and external partners, and be responsible for driving strategy and execution to deliver against our audacious goals. You will create a culture of psychological safety to develop and grow a team experienced in enterprise software, big data/analytics, data engineering, and data science. Your experience partnering with the sales organization will help close revenue opportunities with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles, and build relationships with key stakeholders in large corporations.
The impact you will have:
• Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects.
• Build a collaborative culture within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking, diverse culture and a first principles mindset
• Create trust-based relationships with customers for the long term and understand your industry and sub-verticals, landscapes and trends, to help influence the direction of our accounts.
• Promote a solution and value-based selling field-engineering organization.
• Display an understanding of business needs and revenue potential for accounts in the assigned region.
• Be a thought leader for Databricks and in the Data and AI ecosystem.
What we look for:
• At least 3 years of second-line leadership experience, managing teams of 30+ individuals and 10+ years of overall leadership experience
• Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software or cloud provider.
• Ability to elevate engagement, with a track record of driving large transactions and high-growth customers.
• Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach.
• Drive operational rigor to manage a high-growth business, with the right cadence, drive visibility and support for customer issues and feature requests.
• Proven track record of transformational success and delivery of customer value.
• Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing).
• Experience in positioning solutions in complex strategic accounts and finding a path to mutual value, and durable consumption on the Databricks platform
• Great at instituting processes for technical field members to improve efficiency.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
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 $218,400 — $300,300 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 .