Product Manager, Machine Learning
About The Position
Machina Labs is seeking a Product Manager, Machine Learning to join their team. The company is building intelligent, software-defined factories for complex metal structures. This role will focus on developing machine learning models and GPU-based physics simulations to predict and compensate for metal springback in the manufacturing process, aiming to reduce the number of trials needed to achieve target part tolerances. The goal is to make manufacturing more accessible to broader consumer markets by improving efficiency and accuracy. Key areas of focus for this role include developing models for springback prediction, optimizing input parameter selection for path planning, and managing data and simulation environments for ML model training. The Product Manager will own the product roadmap for these areas, ensuring alignment with company priorities and driving execution from discovery through release.
Requirements
- A bachelor's degree in computer science, electrical engineering, or a related engineering field. Or equivalent practical experience demonstrating the same depth.
- 5+ years of product management experience in technical software environments.
- A proven track record of shipping complex solutions. You define problems before solutions, drive engineering execution, and measure success by outcomes, not output.
- 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.
- Deep curiosity about users. You get close to the people using your software and build products that genuinely improve how they work.
- Outstanding communicator, comfortable presenting to executives, influencing teams across the company, and aligning collaborators.
Nice To Haves
- Prior product experience where a model output is the product.
- Direct experience with machine learning or computer vision, whether from coursework, research, or models you built and trained yourself.
- Experience building or using physics-based simulation.
Responsibilities
- Own the machine learning and simulation roadmap. Define priorities, make tradeoffs, and communicate direction to engineering and leadership.
- Run sprints for the Machine Learning/Physics Sim team and drive delivery from discovery through release.
- Conduct direct user research with internal process engineers to deeply understand their needs and how ML can help their workflow.
- Write clear product requirements that engineers can build from, with enough technical depth to have substantive tradeoff conversations.
- 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.
- Participate in company roadmap and strategy discussions, representing the software tools perspective.
- Partner with the Product Lead to align the machine learning roadmap with broader company priorities.
Benefits
- Competitive benefits package
- Stock option participation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
