Product Manager (AI & Automation Systems)
We are building the foundational AI model and prompt-to-matter platform for chemistry-based products - an MCP/API layer that allows prompts and AI agents to design, formulate, and orchestrate robotic manufacturing.
Every formulation, batch, process parameter, and outcome becomes training data. Our manufacturing nodes are not just places where products are made - they are environments where the system learns how chemistry behaves in the real world. Connected through a unified intelligence layer, each run improves formulation design, process control, and production efficiency across the network.
When intelligence is embedded into the systems that transform matter, production becomes adaptive, local, and exponentially more capable. We are building a platform that will help power a radically abundant future.
About the Role
As Product Manager (AI & Automation Systems), you'll define and drive the roadmap for the intelligence layer of our Gen 3 manufacturing platform. You will own the product strategy behind closed-loop optimization, reinforcement learning systems, formulation intelligence, and process automation.
This role sits at the intersection of AI, robotics, and real-world manufacturing. You won't be training models yourself - but you will define what problems we solve with AI, how success is measured, and how intelligence integrates into physical production systems.
You will work closely with AI/ML engineers, controls engineers, software teams, and leadership to turn vision into shipped, measurable systems. This is a high-agency role for someone who thrives in ambiguity and wants to shape the future of adaptive manufacturing.
This is a full-time role based in California, with in-person collaboration expected in our Mountain View office (generally four days per week onsite).
What You'll Do
- Define the product roadmap for AI-driven process optimization and automation systems.
- Translate high-level company vision into clear product requirements and measurable objectives.
- Work with ML engineers to scope reinforcement learning, optimization, and predictive modeling initiatives.
- Define success metrics for process performance, yield improvement, and system learning loops.
- Partner with controls and embedded teams to ensure AI systems integrate cleanly into physical hardware.
- Prioritize features and experiments based on impact, feasibility, and learning velocity.
- Design feedback mechanisms that convert production data into product improvements.
- Collaborate with Customer Success and Sales to understand market needs and translate them into roadmap priorities.
- Communicate progress and tradeoffs clearly across engineering and leadership teams.
What We're Looking For
- 3+ years of product management experience in technical or platform environments.
- Strong understanding of AI/ML concepts, optimization systems, or automation technologies.
- Comfortable working with engineers across ML, controls, and software domains.
- Ability to define metrics and evaluate experimental outcomes rigorously.
- Strong systems thinking - you understand how software intelligence interacts with hardware constraints.
- High agency and comfort making decisions with incomplete information.
- Excellent communication skills - you can translate complex technical concepts into clear priorities.
- Actively leverages modern AI tools to accelerate research, documentation, and product iteration.
- Nice-to-haves: manufacturing systems, industrial automation, reinforcement learning exposure, technical degree.
What We Offer
- Competitive compensation with equity.
- Ownership over the intelligence roadmap of a next-generation manufacturing platform.
- Opportunity to define how AI integrates into real-world physical systems.
- High-autonomy environment with direct impact on company direction.
- A fast-moving, builder-oriented team focused on ambitious execution.
Interested in this role? Submit your application below and we will review it quickly.
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