Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $99,500.00 in our lowest geographic market to $222,900.00 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.
 

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, it's about each person bringing skills and passion to a challenging and constantly evolving game.

WHO WILL YOU WORK WITH

You will work with the Nike AIML and GenAI engineering teams around the world to sell the vision and gather requirements. You will also work closely with the data engineering and Data Science teams in developing the best possible products. You will be part of the AIML & GenAI product management team and collaborate with all the AIML and GenAI Product team to prioritize competing needs and understand key dependencies with tech domain partner product teams.

WHO ARE WE LOOKING FOR

We need an experienced Lead Product Manager to join our team, focusing on Generative AI at Nike. This role requires knowledge in software engineering and software as a service experience with managing an AI-based products. You equally enjoy crafting and selling a vision, gathering requirements from customers, and working with the Engineering team to break down and prioritize the work. You have a proven ability to demonstrate measurable business impact. You thrive in ambiguous situations and are a true team player. You will be critical in driving massive change in Nike's AI ecosystem which will create efficiencies in time to value for AI models helping drive our digital transformation.

Must have the following:

• Bachelor’s degree in Engineering, Computer Science, Information Systems or equivalent work experience

• 3+ years of professional experience with a combined background of product management and software engineering.

• Experience working with multiple Agile teams

• Experience with Agile methodologies such as Scrum, LEAN, Kanban, XP Programming etc.

• Experience managing an AI-based product and SAAS – with Data Science experience a plus.

• Proven ability to be a product advocate; can describe the product, its value, how it works, how it is adopted, speak to upcoming changes and tailor the information to the audience.

• Ability to prioritize competing needs and make decisions in ambiguous situations.

• In-depth understanding of technology systems and the ecosystem the team works in to help team in overcoming roadblocks.

• Previous experience and successful track-record of learning new tools and technologies.

• Experience with machine learning frameworks & statistical analysis with Python, R or similar.

WHAT WILL YOU WORK ON

You will drive the strategy, roadmap, and priorities for Nike's Generative AI initiatives. This technology will be used as the framework for Advanced Analytics solutions and workflow automation across the enterprise. Work with key internal business and tech stakeholders and customers to gather requirements, guide solutions and prioritize efforts. You will create assets that sell the vision, enable others, and build excitement. You will drive adoption across the enterprise and change the way AI is leveraged at Nike.

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.