高级经理，现场工程
Sr. Manager, Field Engineering
FEQ427R411 Req ID
职位描述
向现场工程总监汇报，高级现场工程经理将领导Databricks现场工程团队中针对初创企业的解决方案架构师（SAs）团队。您将领导并推动一支专注于企业软件、大数据/分析、数据工程、数据科学、数据仓库和生成式AI的多元化团队。作为技术销售团队的领导者，您将与销售团队（以及其他现场工程技术部门）合作，通过Databricks的数据智能平台增加收入并帮助客户取得成功。您将打造并维护一个高效运作的优秀现场工程团队，以加速Databricks在市场上的增长。
您将产生的影响
您将招聘、培训并培养一支解决方案架构师团队，为一家处于高速成长阶段的公司工作
通过Databricks让您的客户取得巨大成功，并为其业务提供超值价值
您将保持一个强大且高质量的招聘渠道，吸引能够提升标准的候选人
您将在整个业务范围内建立关系，确保您的客户和团队取得成功
您将确保您的解决方案架构师团队始终走在技术前沿，保持对Databricks技术栈的深入理解
您将确保团队持续学习，致力于为客户提供最全面的解决方案
您将战略性地与客户高层进行互动，推动互利的结果，并制定市场进入策略，推动世界级的执行以达成激进的销售目标
我们寻找的人选
有构建和领导技术售前团队的丰富经验——包括招聘、入职、指导和培养这些团队，使其成长为能力出众的个人以及优秀的团队成员
在数据领域有10年以上经验，具备技术产品背景（如数据仓库、大数据、机器学习，或最近的生成式AI）
可信赖的技术高管顾问，指导战略性的数据基础设施决策
通过最佳实践领导团队进行技术评估、技术验证、架构讨论和产品演示
与系统集成商（SIs）和独立软件供应商（ISVs）建立并维护外部合作关系，最大化并加速客户成功
查看英文原文
FEQ427R411 Req ID
Mission
Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups segment of Databricks’ Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.
The Impact You Will Have
You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
Make your customers extremely successful with Databricks and provide outsized value to their businesses
You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates
You will establish relationships across the business to make your customers and team successful
You will keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs
You will engage with customers strategically at the Executive Level to drive mutually beneficial outcomes and set GTM strategy and drive world class execution towards meeting aggressive sales targets
What We Look For
Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players
10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
Trusted advisor to technical executives that guide strategic data infrastructure decisions
Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
Strong understanding of consumption-driven business models and the recipes for long term growth and success
Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams
Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale
Pay Range Transparency
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.
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.
Benefits
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.
Applicant Privacy Notice
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.
Benefits
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.