Associate General Counsel, Product & Regulatory
Hybrid (San Francisco), Hybrid (Boston)Full-timePosted 1mo ago
About the role
Liquid AI seeks an experienced Associate General Counsel to lead product counseling and AI regulatory work, reporting to the Chief Legal Officer and partnering with product, research, and engineering teams to translate regulatory developments into practical actions for Liquid’s AI models and products.
Responsibilities
- Own legal support for the development, release, and deployment of Liquid’s models and products.
- Advise product, research, and engineering teams on AI regulation, privacy, data use, intellectual property, model safety, security, and product claims.
- Lead Liquid’s response to the EU AI Act and other emerging AI laws, including the practical controls, documentation, and product decisions needed for compliance.
- Advise on training and evaluation data, synthetic data, model outputs, open-source and open-weight releases, fine-tuning, and customer deployments.
- Support the commercial team on product and regulatory issues arising in strategic customer and partnership agreements.
Qualifications
- At least 8 years of relevant legal experience, including meaningful in-house experience advising technology product teams.
- Strong background in AI regulation, privacy, data governance, intellectual property, or related technology issues.
- Ability to understand how Liquid’s products work and give clear, practical, risk-based advice.
- Ability to operate independently, identify issues before they become problems, and drive work through completion.
- Comfort making decisions in areas where the law is new, unsettled, or simply does not provide a clean answer.
- Clear, concise writing.
Skills
Required:Legal advice for technology productsAI regulation
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Liquid AI
Build efficient general-purpose AI at every scale.
We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.
AIEdge AIFoundation ModelsGenerative AIliquid-ai-recruiting-target
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