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. Backed by Index.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- The AI Knowledge Architect on what the representation needs to be
- The VP of Product on what to build first
- The Director of Agentic AI on what the agents need from it
- The Head of Infrastructure & Security on what is required to securely scale for the largest enterprise customers
- Build and lead the Core Product engineering team, hiring senior engineers and developing tech leads as the team grows
More about this role
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...
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