Product Management, Intern

Machina LabsChatsworth, CA
33d$20 - $35

About The Position

As a Product Management Intern at Machina Labs, you will take ownership of high-impact projects that advance the future of flexible manufacturing. You'll collaborate across engineering, robotics, and machine learning teams to deliver real solutions for customers, helping make industrial-grade metal forming accessible to all. This role empowers you to develop core product management skills, drive meaningful business outcomes, and contribute directly to Machina Labs' mission of democratizing manufacturing through innovation. Product management isn't taught in most universities, it's learned by doing. This internship gives you that opportunity. You'll work closely with our product team and own a meaningful piece of our product from start to finish. This is not a shadow role or a fluff project-you'll take full ownership of work that matters to our business and our customers.

Requirements

  • Currently pursuing or holding a degree in engineering or a closely related technical field (B.S., M.S., or Ph.D.).
  • Expected to complete or have completed final degree within one year of the internship's end.
  • Analytical and problem-solving skills, with the ability to quickly understand technical domains.
  • Familiarity with technical concepts in the fields of robotics, AI, or manufacturing systems.
  • Interest in business, design, and engineering disciplines. Product sits at the intersection of all three.
  • Clear, structured communication skills-able to translate between technical and non-technical audiences.
  • Self-motivated and independent. Product managers own broad problem spaces-they research, design, and drive outcomes with limited direction.

Responsibilities

  • Partner with internal and external customers to understand their needs.
  • Define and design software and hardware solutions that address real user problems.
  • Collaborate with engineers to deliver those solutions into production.
  • Contribute to product roadmapping meetings and learn how product strategies are developed and maintained.
  • Participate in technical planning and sprint management across Robotics, Software, Machine Learning, Automation, and Mechanical Engineering teams.
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