LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
As Associate Director/Director, Frontier and AI Product Counsel at Lila Sciences, you will be the dedicated legal partner to the teams building Scientific Superintelligence™ — our AI research organization, our AI Science Factory™ platform, and the data, safety, and security functions that support them. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- J.D. and membership in at least one U.S. state bar in good standing
- 7–12 years of legal experience, with substantial time in-house at a technology, AI, or life sciences company, ideally spanning both research-facing and product- or customer-facing counseling
- Sound judgment under uncertainty, and the ability to give clear, practical advice on questions where the law has not caught up, including when to be flexible and when to hold a line
- A strong sense of ownership and the instinct to build cross-functional relationships, so teams bring you in while decisions are still open rather than after them
- Excellent written communication — you can draft a policy, a framework, or a whitepaper that non-lawyers will actually use
- Comfort operating outside your areas of expertise, wearing many hats, and moving at startup speed without losing rigor
More about this role
As Associate Director/Director, Frontier and AI Product Counsel at Lila Sciences, you will be the dedicated legal partner to the teams building Scientific Superintelligence™ — our AI research organization, our AI Science Factory™ platform, and the data, safety, and security functions that support them. You will own the legal questions that come with training frontier models on scientific data and running experiments autonomously: where data comes from and what we can do with it, how rights are allocated when we discover something alongside a partner, what we can publish or open-source, and how we build, evaluate, and release capable systems responsibly.
This is deliberately a build role, not a maintenance role. Much of this work has no settled precedent and no off-the-shelf playbook — you will frequently be designing the framework rather than applying one. You'll partner daily with scientists, ML researchers, platform engineers, and our safety and security teams, and closely with our privacy, commercial, and go-to-market colleagues as the platform is deployed, and you'll be the person who translates between technical reality and legal risk in both directions.
This role reports to...
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