lilasciences · Cambridge, MA USA
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. What You'll Be Building 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 shared analytical backbone. Translate commercial pull, scientific ambition, and AI model needs into a single prioritized roadmap, making the tradeoffs between competing demands explicit and defensible. Define what a capability must do to count as delivered, including scope, throughput, performance, and level of autonomy, in requirements that engineering teams can scope, staff, and build against. Co-own the Chemistry AISF program charter with the Program Lead, including the capital plan, …truncated… ence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™…
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