At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake's Product Legal team is hiring a Corporate Counsel II to support Snowflake's AI Forward Deployed Engineering, AI Governance, Data Clean Rooms, and Native Apps product surfaces. We're looking for a thoughtful, business-minded lawyer who is energized by open-ended problems.
You'll report to a Senior Corporate Counsel within Product Legal.
RESPONSIBILITIES
- Day-to-day product counseling for AI Governance, Data Clean Rooms, and Native Apps. Collaborate with PMs and engineers as features get scoped and built, diving deep on feature functionality, identifying what risks they introduce, and designing meaningful risk mitigations and compliance strategies. Advise on issues relating to IP, privacy, regulatory, contract architecture, and product policy, often at the same time.
- Manage AI Forward Deployed Engineering engagements. Support commercial negotiations and drive cross-functional alignment with tax, accounting, finance, product, and engineering stakeholders. Comfort with novel commercial agreements matters here.
- Draft and maintain customer-facing legal terms tied to new product offerings and launches.
- Discover new best practices for product counseling in the AI era by reimagining how legal work can be done.
REQUIREMENTS
- Equivalent of 3+ years substantive post-bar legal practice, with substantive practice in one or more of the following: privacy / cybersecurity regulatory, tech transactions, AI/ML regulatory, IP (transactional or litigation), commercial litigation with technology clients, or hybrid commercial-regulatory practice. Your career arc should signal substantive curiosity and adaptability across areas — we care more about how you think and learn than about which practice group you sit in today.
- Demonstrated comfort with technical product material — you should be able to read an architecture document and have a focused conversation with Engineering.
- Strong judgment under ambiguity.
- Clear written communication, especially translating legal positions into plain-English for sophisticated non-lawyer audiences.
- Experimental mindset toward AI tooling: curiosity about emerging capabilities, willingness to test, and developed views on what works and what doesn't. AI tooling is part of how the team works day to day; that should sound like a feature of the role to you, not a hurdle.
- Integrity, empathy, strategic thinking, and service orientation.
- Active California bar OR active bar in another US jurisdiction with eligibility to register as in-house counsel in California.
**PREFERRED EXPERIENCE **(one or more)
- Custom enterprise deal experience, particularly technology transactions.
- Active practice using AI tools (Cortex, Claude, ChatGPT, GitHub Copilot, or comparable) for legal work product.
- Exposure to AI/ML product law: model licensing, data rights, AI Act and state AI laws, customer AI risk allocation.
- Exposure to clean-room / multi-party data collaboration, marketplace, app distribution, or AI governance.
- Substantive prior career before law school (e.g., teaching, military, government, healthcare, prior tech IC role, policy/advocacy, journalism).
- Technical or quantitative academic background prior to law school.
INTERVIEW PROCESS
The complete interview process will include both remote and in-person interviews, as well as a structured in-office working session and reference checks. The working session will involve redlining a partnership integration agreement excerpt using AI tooling, defending the redline in a stakeholder simulation, walking through how the structure adapts when the partnership layers into a custom AI forward-deployed engineering engagement, and a brief feedback and reflection session. Working-session materials will be shared 48 hours in advance.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com