成为 NIKE, Inc. 团队的一员

NIKE, Inc. 不仅仅是为全球顶尖运动员提供装备,更是一个发掘潜力、突破边界、创造无限可能的地方。我们致力于寻找善于成长、思考、梦想和创造的人才。我们的企业文化因拥抱多元化、鼓励想象力而蓬勃发展。Nike 寻觅奋斗者、领导者和梦想者的加入。NIKE, Inc. 员工以出色的专业技能迎接挑战,满怀激情地投身于不断变化的行业发展之中。

Sr Director, Software Engineering

[55, Sr Director, Global Technology]

Beaverton, Oregon

 

WHO YOU’LL WORK WITH

At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.

 

WHO WE ARE LOOKING FOR

We are looking for a visionary engineering leader with a passion for building world-class data platforms and services. You thrive in a fast-paced, collaborative environment and have a proven track record of leading high-performing, cross-functional engineering teams. We are looking for someone that is deeply technical, business-savvy, and customer-obsessed.

 

WHAT YOU’LL WORK ON

 Lead and scale a team of engineering managers and software engineers responsible for building Nike’s next-generation data services platform.
 Drive the design and development of API-first, Tier-1, business-critical data services that are secure, scalable, and resilient.
 Partner with product, architecture, and platform teams to define and execute the technical roadmap for Nike’s Lakehouse and Data Mesh strategy.
 Champion best practices in data governance, data pipelines, and platform observability.
 Foster a culture of engineering excellence, innovation, and continuous improvement.
 Collaborate with senior leadership to align engineering initiatives with Nike’s broader business and technology goals.

 

Skillset Required

 Degree in Computer Science, Engineering, or a related field plus 15+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms or equivalent combination of education, experience or training.​
 7+ years of experience leading engineering teams as a manager of managers, with demonstrated success in hiring, mentoring, and growing talent.
 Deep expertise in at least one major cloud platform: AWS, Azure, GCP, or OCI.
 Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQand Apache Airflow.
 Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
 Proven ability to deliver high-impact, API-first services at scale.
 Excellent communication and stakeholder management skills.

 

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

预期内容

我们的招聘策略

01 申请

我们的团队拥有多元化的技能组合、知识库、意见、想法和背景。 希望你能找到适合自己的职位,因此请查看职位描述、部门和团队,找到适合你的职位。

02 与招聘人员会面或进行评估

如果被选中担任公司职位,招聘人员将会联系你开启面试流程,并在整个过程中担任你的主要联系人。 如果是零售职位,你需要完成互动式评估,包括聊天和测验,用时约 10 到 20 分钟。 无论担任什么职位,我们都希望充分了解你。因此,请尽情展现你如何提供世界一流的服务以及你的独特之处。

03 面试

从容开启这一阶段,做好充分调查,了解候选人标准并根据个人情况和背景准备可能会被问到的问题。

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