Matter Intelligence is pioneering a new ultraspectral vision ecosystem that sees molecular chemistry, unlocking superintelligent vision for the physical world. Backed by Pear VC.
About the role
Matter is hiring a Product Intelligence Engineer to turn physics-informed models, general-purpose AI, and ultraspectral data into secure, evidence-backed intelligence products. Reporting to Ignacio Cases Martin, this hands-on individual contributor will build agentic workflows, retrieval and tool integrations, reports, and human-in-the-loop experiences that help customers make operational decisions.
What they're looking for
- Experience building production AI applications, agent systems, workflow engines, backend services, or complex software products
- Strong hands-on engineering skills across APIs, stateful services, databases, asynchronous execution, testing, debugging, and production operation
- Practical experience with LLMs or multimodal systems, retrieval, memory, tool use, model routing, structured generation, and common failure modes
- Product judgment and the ability to connect technical design choices to the user decision or workflow being improved
- Experience building systems with security, permissions, data isolation, auditability, or human-approval requirements
- To comply with U.S. export regulations, applicants must be one of the following:
More about this role
Welcome to Matter, where we are building the future of vision AI: pairing a world-first sensor that sees molecular chemistry, temperature, and 3D shape with a Large World Model that will be the most powerful intelligence engine for the physical world. This system doesn't just see what something looks like; it understands everything from a single pixel. We call this Superintelligent Vision.
Our team has delivered technologies to Mars for NASA/JPL, designed advanced sensors for U.S. Defense, and frontier artificial intelligence systems. We are now building the next generation of space- and airborne-based sensing systems.
Matter is hiring a Product Intelligence Engineer to turn physics-informed models, general-purpose AI, and ultraspectral data into secure, evidence-backed intelligence products. Reporting to Ignacio Cases Martin, this hands-on individual contributor will build agentic workflows, retrieval and tool integrations, reports, and human-in-the-loop experiences that help customers make operational decisions.
Build production workflows that combine physics-informed models, LLMs, VLMs, world models, scientific code, data services, and deterministic rules through stable...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area