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.
Dive deep on feature functionality, identifying risks and designing meaningful risk mitigation and compliance strategies.
Advise on issues relating to IP, privacy, regulatory, contract architecture, and product policy.
Manage AI Forward Deployed Engineering engagements. Support commercial negotiations and drive cross-functional alignment with tax, accounting, finance, product, and engineering stakeholders.
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.

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.
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.
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.

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.

Corporate Counsel 2 – Product

Key skills