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工程经理 - AI/BI

机器翻译
查看雇主原标题Manager, Engineering - AI/BI

Databricks · Vancouver, 加拿大

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

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发现指数 52/100,仅依据与该职位一起存储的证据计算。

52/100 发现指数
  • 新的雇主官方职位
  • 稀有职位匹配

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+11
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

RDQ226R533

在Databricks,我们热衷于帮助数据团队解决世界上最棘手的问题——从让下一代交通工具成为现实,到加速医学突破的发展。我们通过构建和运行世界上最好的数据与AI基础设施平台来实现这一目标,让我们的客户能够利用深度数据洞察来改善他们的业务。我们由工程师创立——并且痴迷于客户——我们抓住每一个机会解决技术挑战,从设计与数据交互的下一代UI/UX,到在数百万台虚拟机上扩展我们的服务和基础设施。而我们才刚刚开始。

我们是“AI/BI”团队,负责让Databricks成为业务用户创建、查找和消费数据洞察的最佳产品。我们致力于4个关键支柱:Dashboards、Genie、Databricks One和Unity Catalog Business semantics。UC Business semantics允许用户在集中治理的系统中定义业务指标和代理元数据,以实现可信访问。Databricks One为用户提供简化的体验,专为非技术用户量身定制,以便查找和消费数据洞察。Genie让用户通过最先进的text-to-SQL与他们的数据对话,而Dashboards则让用户运行他们的日常业务。

我们正在寻找一位专注的工程负责人,帮助发展数据可视化与UC Business Semantics团队。这些团队将攻克一系列具有挑战性的全栈问题领域,包括:让可视化易于消费、使仪表板具有高度交互性、打造引人入胜的增强分析体验、提供一流的低代码/无代码创作能力,以及提升我们业务语义产品的分析表达能力。

您将直接向高级工程经理汇报。

主要职责包括:

• 您将领导一支由全栈工程师和SME组成的优秀工程团队,专注于上述其中一项计划。

• 您将负责持续招聘顶尖人才,并培养团队中的人才。

• 您将根据组织目标和优先级,建立流程以实施产品愿景和战略。

• 您将构建不仅高质量,而且易于运维的软件。

• 您将管理技术债务,包括长期技术架构决策,并平衡产品路线图。

我们寻找什么样的人:

• 擅长招聘和培养人才

• 擅长创建能够提升速度和质量的高效流程

• 2年以上管理在SaaS环境中构建和运维系统的团队的经验

• 5年以上分布式系统以及构建平台和服务,并为一流应用体验提供支持的经验,这些应用服务于多个产品团队和客户

• 具有将工程团队从5人扩展到20人以上的经验

• 具有团队精神,能够与其他部门(PM、CS)和工程团队合作。

• 计算机科学或相关领域的学士或更高学位

• 在吸引、招聘和留住顶尖工程人才方面有出色的过往业绩

• 具有管理跨多个地点的分布式团队的经验。

• 在快节奏、快速演变的技术环境中具备适应能力和韧性

福利待遇

在Databricks,我们致力于提供全面的福利和津贴,以满足我们所有员工的需求。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,我们致力于培育一种多元且包容的文化,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,并且雇主可能仅基于这一原因而拒绝继续推进某位申请人。

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。实际薪酬方案取决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区间。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。

加拿大薪酬范围 $171,100 — $227,500 CAD

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Fortune 500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San Francisco,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

RDQ226R533

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business.

We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products.

You will report directly to the Senior Manager of Engineering.

The main responsibilities include:

• You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives.

• You will oversee sustained recruitment of top-tier talent, and developing talent on the team.

• You will build processes to implement product vision and strategy, according to organizational goals and priorities.

• You will build software that is not just high quality, but easy to operate.

• You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.

What we look for:

• Great at hiring and developing talent

• Great at creating efficient processes that increase velocity and quality

• 2+ years of experience in managing teams that build and operate systems in a SaaS environment

• 5+ years of experience with distributed systems and building platforms and services and best in class application experience which serve multiple product teams and customers

• Have experience in scaling engineering teams from 5 to 20+

• Team player that will work with other departments (PM, CS) and engineering teams.

• BS or higher in Computer Science, or a related field

• Strong track record of attracting, hiring, and retaining top engineering talent

• Experience managing distributed teams across multiple locations.

• Adaptability and resilience in a fast-paced, rapidly evolving tech environment

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 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 anticpates 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.

Canada Pay Range $171,100 — $227,500 CAD

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 .

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