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EPL Group

Product Owner Intern - AI Venture Studio

Posted 3 days ago
0-2 years experience
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AI Summary

The Product Owner Intern will research market opportunities and AI capabilities to define MVP specifications and product roadmaps. They will collaborate with engineers and designers to support customer discovery, prototyping, and product validation.

Location: United States only | Remote
Type: Internship | Unpaid | No academic credit

About the Role

We are looking for an entrepreneurial Product Owner Intern to support multiple AI-powered MVP projects within our Venture Studio.

This is an ideation and product discovery-focused role. You will help turn business opportunities and emerging AI capabilities into validated product concepts and MVP specifications.

Tasks

What You'll Do

  • Research markets, customer problems, competitors, and AI opportunities.
  • Participate in ideation and evaluate new venture concepts.
  • Define MVP scope, user journeys, workflows, and product requirements.
  • Create user stories, feature specifications, and product roadmaps.
  • Work with AI engineers, developers, designers, and venture builders.
  • Support customer discovery, validation, prototyping, and MVP testing.
  • Explore how AI agents, LLMs, automation, and SaaS can improve business workflows.
  • Contribute across multiple venture projects.

Requirements

What We're Looking For

  • Strong interest in AI, startups, SaaS, product management, and entrepreneurship.
  • Analytical, curious, structured, and highly proactive.
  • Comfortable working with ambiguity and moving quickly.
  • Strong communication and research skills.
  • Basic understanding of software/product development.
  • Experience with AI tools, no-code/low-code platforms (Lovable or similar), startups, or side projects is a plus.

Important

  • Must be currently located in the United States.
  • Unpaid internship.
  • No academic/school credit provided.
  • Best suited for someone who wants hands-on exposure to AI venture building and MVP creation.

If you want to help answer “What should we build, why, and how quickly can we validate it?”, we'd like to hear from you.

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