Product Management, Intern

About Machina Labs

At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 6-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer-by-layer.

Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a startup building a few thousand airframes or an automaker prototyping next-generation components, Machina Labs gives you the ability to iterate and manufacture at the speed of software.

With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on-demand, and innovation is unconstrained.

About the Role

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.

What You’ll Do

- 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.

What We're Looking For

- 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.

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.