Open to remote work except in South Dakota, Vermont and West Virginia. The annual base salary for this position ranges from $138,400.00 in our lowest geographic market to $327,200.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience. Information about benefits can be found here (https://jobs.nike.com/benefits) . Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. Sr. Manager– AI/ML Engineering NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and redefine what can be. We look for colleagues who can grow, think, dream and create. Our culture thrives by embracing diversity and rewarding imagination. The Nike brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game. WHO ARE WE LOOKING FOR  Nike is looking for an experienced Engineering leader who can lead and grow teams of machine learning engineers, data scientists, and software architects to deliver scalable machine learning and artificial intelligence solutions to customers across our business. As a Sr. Manager in AI/ML Engineering, you will be a part of a cross-disciplinary (data/API/infra/infosec/ML) engineering leadership team tasked with executing on the AI/ML organization’s charter. In this role you will be working at the intersection of machine learning and engineering (i.e., MLOps), leading teams to deliver innovative and high-quality services which power Nike’s supply chain. You will be a strong advocate for both engineering best practices (e.g. code reviews, unit testing) and also the adoption of new technologies (e.g. DataBricks, SageMaker, LLM optimization) which can help us move faster on our journey. In this way, you will be responsible for coaching engineers to continuously elevate their engineering skills and for growing their careers at Nike. WHO WILL YOU WORK WITH  Artificial Intelligence and Machine Learning (AI/ML) is one of the key groups within Data and Artificial Intelligence and we have been chartered to help scale machine learning across Nike. We bring cross-disciplinary teams of data scientists and engineers to areas of the business which are early in their analytics journey. For areas of the business which are more mature and already have data science teams, we help scale machine learning by providing squads of engineers to maximize the velocity of those data science teams in delivering value to the business. Lastly, we work closely with our platform and architecture partners to develop capabilities which help machine learning scale easier at Nike (e.g. model management, A/B testing, feature stores). This role reports to the Director of AI/ML Engineering. Essential Job Functions: + Serve as part of a cross-functional leadership team to growhighly skilled,diverseengineering teams that deliver solutionswhichunlockmachine learning for Nike.Engage employees, assist the teams by removing roadblocks,andalign efforts across Nike’s matrix to drive progress forward and always win as a team. + Leverage your prior experience, knowledge of industry trends, and personal creativity to developand drivenew and innovative solutions which delight our customersin their mission to serve Athletes*. + Stay current with industry trends and recommend relevant technologies & products in the areas ofanalytics,machinelearning,artificialintelligence, anddatascience.Giventhe rapid pace of change in technology and machine learning today, always be pushing the boundary of what’s possible and be on the offense always. + Embrace and embody Nike’s core values (maxims) in your work and interactions with peers, stakeholders, and direct reports. Model clarity and accountability as a leader ofNike. Communicate effectively, build trust and strong relationships across the company, do the right thing. + Be a mentor to teams, individuals, and technical leaders to foster motivated contributors, collaborative stakeholders, and high performing teams. Set high standards for engineering excellence, MLOPs, operational excellence, and driveinnovation. + Curiosity. WHAT YOU BRING TO NIKE + A demonstrated technical leader with deep knowledge and experience in delivering production grade softwareat scale. Able to dive deep into code and architecture to provide an informed opinion on benefits/trade-offs of different design choice. + ComparableBachelor’s Degree in computer science, software engineering, orapplicablefield (’sdegreeor Ph.D. preferred). + 7+years of experienceacross multiple rolesin developing productionizedcode in software or data engineering, machine learning or a related field(experiencedeliveringanalyticsand ML productspreferred). + 4+ years in a leadershipormanagementroleusingAgile frameworks, processes, and teamstructures. + FamiliaritywithETL,ML,oranalyticstechnologies such as Scikit-learn,Dask,Tensorflow, Kubeflow, Spark, EMR, Databricks, AWS or similar platformsand frameworks. + Mustbe able tomeaningfullycommunicate, written, orally, and visually,technicaltopicswith stakeholders andarticulatethe benefitsandtradeoffs of each solutionand connect them to business value. + Fluencyin the application ofopen-sourcetechnologies andtheimpact ofstandardizedplatforms.Ability tomakebuild/buy decisions in the area of Data Science, AI, & ML. + Must be able to articulate and evangelizeMLOps,code management workflows, infrastructure as code,and the lifecycle of model development fromexperimentationto productionand measurement. This will include a deep knowledge of software architecture and engineering best practices, especially moderncloud computing stacks for deploying machine learning at scale. + Experience in team leadership and building positive relationships across Product, Architecture, and Engineering, and ability to influence decisions and changes across loosely coupled teams. + The habits of a constant learner. NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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 (https://app.smartsheet.com/b/form/5153e46a93f4460db48eb9e611386685) . NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.