
Associate General Counsel, Product & Regulatory
San Francisco, CA · HybridFull-timePosted 1 day agoStill listed 1 day ago
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At a glance
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Job overview
Reporting to the Chief Legal Officer, the Associate General Counsel will lead product counseling and AI regulatory work at Liquid AI. The role supports models and products from development through release and customer deployment, advises on data, privacy, intellectual property, licensing, and model safety, and partners with technical and commercial teams to align product decisions and customer commitments with applicable legal requirements.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About Liquid AI 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.
The Opportunity 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.
What We’re Looking For We need someone who:
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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.
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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.
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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.
The Work
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Own legal support for Liquid’s models and products from development through release, fine-tuning, and customer deployment.
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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.
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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.
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Guide open-source and open-weight release decisions, including licensing, model safety, security, and which claims Liquid can support about a model’s capabilities.
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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.
Experience & Capabilities What you’ll need
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At least eight years of relevant legal experience, including substantial in-house experience advising technology product teams.
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Depth in one or more of AI regulation, privacy, data governance, intellectual property, or a related area of technology law.
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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.
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Clear, concise writing that gives technical and business readers enough context to act.
Helpful, not required
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Direct experience counseling teams that train, fine-tune, or release foundation models.
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Experience implementing AI regulatory requirements or advising on open-weight licensing and downstream use.
What Success Looks Like (Year One)
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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.
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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.
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Commercial teams can answer recurring customer questions about data use, model capabilities, and deployment. The commitments in signed agreements match what Liquid can deliver.
What We Offer
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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.
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Compensation & equity. Competitive base salary plus equity, so you share in what we build. Final offers reflect skills, experience, and location.
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Time off. Unlimited PTO, plus company-wide Refill Days, long weekends when the whole company rests together.
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Health & wellbeing. Comprehensive health coverage, with details varying by location.
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Paid leave. Paid leave for pregnancy, parenting, medical needs, and caring for family.
How this job compares
Set against the 2,531 open Legal Counsel jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This postingNot listed
- California median$186–259K/yr361 salary ranges
- Openings
- Olive Jobs lists 407 open Legal Counsel jobs in California and 2,531 across the US. 12% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Travelers Insurance Company44 open
- Meta39 open
- Apple15 open
- Experience
- This posting asks for at least 8 years of experience; Legal Counsel postings that state a minimum ask for 5 years at the median (2,153 postings).
- Education
- 1,986 of the 2,531 open Legal Counsel jobs (78%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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