Product Manager, Machine Learning
Quick Summary
what the robots are doing, why material type matters, and which predictions would actually change a user's decision. Participate in company roadmap and strategy discussions,
Engineering moves at software speed. Manufacturing doesn't. Yet.
Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.
Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.
If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.
About the Role
~1 min readResponsibilities
~1 min read- →
Own the machine learning and simulation roadmap. Define priorities, make tradeoffs, and communicate direction to engineering and leadership.
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Run sprints for the Machine Learning/Physics Sim team and drive delivery from discovery through release
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Conduct direct user research with internal process engineers to deeply understand their needs and how ML can help their workflow
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Write clear product requirements that engineers can build from, with enough technical depth to have substantive tradeoff conversations
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Become the internal expert on what happens at the cell and how that behavior can be modeled: what the robots are doing, why material type matters, and which predictions would actually change a user's decision.
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Participate in company roadmap and strategy discussions, representing the software tools perspective
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Partner with the Product Lead to align the machine learning roadmap with broader company priorities
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A bachelor's degree in computer science, electrical engineering, or a related engineering field. Or equivalent practical experience demonstrating the same depth
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5+ years of product management experience in technical software environments
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A proven track record of shipping complex solutions. You define problems before solutions, drive engineering execution, and measure success by outcomes, not output.
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Enough depth to steer technical direction with an ML team — you can debate architecture choices, know what data an approach requires, and recognize when one is a bad bet.
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Deep curiosity about users. You get close to the people using your software and build products that genuinely improve how they work.
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Outstanding communicator, comfortable presenting to executives, influencing teams across the company, and aligning collaborators
We Prefer
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Prior product experience where a model output is the product
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Direct experience with machine learning or computer vision, whether from coursework, research, or models you built and trained yourself.
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Experience building or using physics-based simulation
Location & Eligibility
Listing Details
- Posted
- August 27, 2026
- First seen
- September 28, 2026
- Last seen
- September 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 43%
- Scored at
- September 28, 2026
Signal breakdown
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