LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
We are hiring a Product Manager to own the product layer for the Chemistry AISF; deciding which capabilities we build, in what order, to what specification, and how we know they are working. You will partner with the Chemistry AISF Program Lead, who owns scientific direction, and with AISF Engineering, which owns the build. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- MS, PhD, or equivalent experience in chemistry, chemical engineering, materials chemistry, or a closely related field
- A track record of writing requirements engineers can actually build from, not feature wish lists
- Comfort making prioritization calls on incomplete information, in front of people who disagree, and writing down the reasoning so it survives the next reorganization
- Experience leading through influence in a matrixed organization spanning science, engineering, software, and commercial teams
- Strong written communication. A large share of this job is producing artifacts, including charters, roadmaps, and requirements documents, that other people act on without you in the room
More about this role
Your Impact at LILA
Lila's AI Science Factories (AISFs) are the automated experimental systems that let AI learn science by running it. The Chemistry AISF spans a broad array of domains including molecular chemistry and small-molecule synthesis, targeted drug delivery and LNP formulation, colloidal nanochemistry and quantum materials, and the flow-chemistry and analytical backbone that connects them.
We are hiring a Product Manager to own the product layer for the Chemistry AISF; deciding which capabilities we build, in what order, to what specification, and how we know they are working. You will partner with the Chemistry AISF Program Lead, who owns scientific direction, and with AISF Engineering, which owns the build. Your lane is the what and the why : turning commercial pull, scientific ambition, and AI model needs into a prioritized capability roadmap, and then into requirements crisp enough that engineering teams can scope, staff, and execute against them.
- Set the product vision, roadmap, and capability priorities for the Chemistry AISF, spanning molecular chemistry and small-molecule synthesis, targeted drug delivery and formulation, colloidal nanochemistry, and the...
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