Head of Engineering, Core Application

We help chemists change the world by building technology that understands how they work. As chemists ourselves, we know what it's like when software doesn't work the way you do, stuck with systems built by people who never spent a day at the bench. That's why we created Albert OS, the first chemistry-native AI operating system for materials science, designed to remove every obstacle between curiosity and discovery. Today we are taking that further. We are building the system where chemists and AI reason about science together, and where we enable every chemical company to build its own frontier intelligence on top of its own research.

We are looking for somebody who has built products around AI, where the AI rooted into the foundational capabilities, ontology, and data model. The Director of Engineering, Core Product will expand and lead the team behind the heart of Albert OS. This role owns the engineering that turns what happens in the lab into a structured, living representation of scientific knowledge, and the product surfaces where chemists and AI work on it together.

About the role

Albert's core product today supports all the work scientists do and captures what happens in the lab. You will lead the engineering efforts to move it to a three-layer model: what was executed, the context and plans behind it, and the scientific reasoning that drives it. That model is a domain-native context graph for scientific reasoning and materials knowledge, and it is what lets AI understand and extend the science rather than sit beside it. You will work alongside a strong AI organization already building Albert's agentic harness, molecular modeling, and inverse design systems. This role is the counterpart to that work: you own the core product that those capabilities live in, and you make sure the product and the intelligence compound and seamlessly operate together to support chemists’ work. You will own the full application layer of Albert OS, front end through backend, including the core ontology, and lead a tight, high-performing team of 8 to 10 engineers who work agentically as a matter of course. In 12 months, success looks like the core product migrated to the three-layer model, with agentic experiences in production across the primary workflows rather than confined to a chat entry point.