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San Francisco, California, United States
Hybrid
Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
Reporting to the Chief Legal Officer, you’ll lead product counseling and AI regulatory work at Liquid AI. You’ll work directly with the researchers and engineers training our models and the product teams bringing them to customers. As Liquid releases model weights and helps customers adapt models for their own environments, you’ll help teams decide which data they can use, what safeguards a release needs, and what we can commit to when a customer deploys a model.
We need someone who:
Gets close to the technical work. You sit down with the people building a model, ask how the data was sourced and how the model will be used, and let those facts shape your advice.
Makes a clear recommendation. When the law is unsettled, you explain what’s known, identify the tradeoff, and give the team a reasoned view on how to proceed. You know which decisions you can make independently and when to involve the CLO.
Follows decisions through. If your advice calls for a change to a product, release, or customer commitment, you work with the owner to put it into practice. You revisit your recommendation when the facts change.
Own legal support for Liquid’s models and products from development through release, fine-tuning, and customer deployment.
Lead Liquid’s response to the EU AI Act and other emerging AI laws. Determine which requirements apply and work with technical teams to put the necessary controls, documentation, and product changes in place.
Advise research teams on the collection and use of training and evaluation data, including synthetic data, and on privacy and intellectual property questions involving datasets and model outputs.
Guide open-source and open-weight release decisions, including licensing, model safety, security, and which claims Liquid can support about a model’s capabilities.
Partner with the commercial team on strategic customer and partnership agreements so that product and regulatory commitments reflect how the model will be delivered and used.
What you’ll need
At least eight years of relevant legal experience, including substantial in-house experience advising technology product teams.
Depth in one or more of AI regulation, privacy, data governance, intellectual property, or a related area of technology law.
A track record of turning a complex legal question into a concrete product decision. You can explain the technical facts that mattered, the recommendation you made, and what the team did as a result.
Clear, concise writing that gives technical and business readers enough context to act.
Helpful, not required
Direct experience counseling teams that train, fine-tune, or release foundation models.
Experience implementing AI regulatory requirements or advising on open-weight licensing and downstream use.
Research, product, and engineering teams identify legal questions early enough to act on them. By release, they know which risks Liquid has accepted, which safeguards are in place, and what customers need to know.
Liquid has a clear view of which AI regulatory requirements apply to its models and products. The relevant teams have implemented the controls and documentation those requirements call for.
Commercial teams can answer recurring customer questions about data use, model capabilities, and deployment. The commitments in signed agreements match what Liquid can deliver.
A direct role in model releases. You’ll work with the CLO and the people building the models, with the opportunity to shape decisions while the team can still change the data, design, or terms of release.
Compensation & equity. Competitive base salary plus equity, so you share in what we build. Final offers reflect skills, experience, and location.
Time off. Unlimited PTO, plus company-wide Refill Days, long weekends when the whole company rests together.
Health & wellbeing. Comprehensive health coverage, with details varying by location.
Paid leave. Paid leave for pregnancy, parenting, medical needs, and caring for family.
