AI Product Management Intern

KEEN Footwear•Portland, OR
•Onsite

About The Position

The AI Product Management Intern will help KEEN identify, design, test, and scale practical applications of AI that benefit employees, customers, and the business. The intern will work across teams to understand existing workflows, identify pain points and opportunities, and translate findings into use cases, prototypes, pilots, and recommendations. The role also contributes to responsible AI practices and materials that help teams understand and adopt new ways of working. This is a 10-week, onsite internship at KEEN’s Global Headquarters in Portland, Oregon, running Monday, June 14 through Friday, August 20. The schedule is 40 hours per week during the standard Monday–Friday work week. Compensation is $22 per hour. Interns take part in meaningful projects, collaborate with teammates and other interns, build connections with industry experts and mentors, and have access to product discounts, a subsidized cafeteria, and an inspiring workspace.

Requirements

  • Currently pursuing or recently completed a bachelor’s or master’s degree in Business, Psychology, Information Systems, Data Analytics, Operations, Computer Science, or a related field.
  • Demonstrated interest in artificial intelligence, product management, process improvement, innovation, or digital transformation.
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), prompt design, AI agents, and concepts such as model limitations, evaluation, data quality, and human oversight.
  • Strong written and verbal communication skills.
  • Ability to solve problems, analyze information, synthesize findings, and turn them into clear recommendations.
  • Commitment to handling confidential information responsibly and exercising sound judgment when using AI tools.
  • Eligible to work in the U.S. without sponsorship.
  • Able to commit to the 10-week program from mid-June through mid-August and work 40 hours per week during the standard Monday–Friday work week.
  • Able to take no more than four total vacation days during the internship.
  • Proficiency with Microsoft Office programs, including Outlook, Word, and PowerPoint.
  • Able to learn and adapt quickly to new software and tools.
  • Strong attention to detail when preparing presentations, reports, and materials.
  • Strong organization skills, including the ability to prioritize and manage multiple tasks.
  • Ability to work independently as well as collaboratively with a team.
  • Able to perform the essential functions of the role, with or without reasonable accommodation, including using a computer for extended periods.

Nice To Haves

  • Hands-on AI projects, prototypes, coursework, research, or work experience building with AI.
  • A builder’s mindset and ability to move from ambiguity to practical experiments.
  • Interest in sustainability, footwear, outdoor activities, or innovation.

Responsibilities

  • Partner with teams across KEEN to map workflows, understand pain points, and identify promising AI opportunities.
  • Research emerging AI capabilities, tools, and relevant examples from consumer, retail, footwear, and other industries.
  • Help define AI use cases, including the problem, intended users, desired outcomes, risks, data needs, and measures of success.
  • Document pilots, lessons learned, adoption signals, and potential business value for leadership and project teams.
  • Create practical materials such as playbooks, workflow maps, use-case briefs, training resources, and communications to support understanding and adoption.
  • Contribute to responsible AI practices concerning privacy, security, accuracy, bias, brand, and human oversight.
  • Collaborate with teammates and participate in a group project with other KEEN interns.

Benefits

  • Product discounts
  • Subsidized cafeteria
  • Meaningful, hands-on project work
  • Collaborative environment and group project with other interns
  • Networking opportunities with industry experts and mentors
  • Inspiring workspace
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