Safety & Security Counsel

Responsibilities

• Advise Safeguards and trust & safety policy teams on usage policies across harm areas, including CBRNE, cyber, user wellbeing, scaled abuse and influence operations, and distillation.
• Advise on policy enforcement frameworks, including account actions, appeals, enforcement systems, and thresholds.
• Counsel on sensitive escalations and strategic responses involving governments, law enforcement, regulators, and the press.
• Advise on safety and security threat intelligence investigations, bug bounty and red-team programs, and safety and security testing arrangements.
• Support safeguards, security engineering, machine learning, and data science teams developing tooling and detection mechanisms, including data governance and privacy considerations.
• Serve as a first-line legal contact for safety and security incidents, providing real-time incident-response guidance and assessing notification and reporting obligations.
• Build and maintain crisis management playbooks, escalation protocols, and self-serve legal guidance.
• Monitor AI safety, security, and regulatory developments and translate them into practical guidance.

Requirements

• JD and active membership in at least one U.S. state bar.
• Experience handling fast-moving, high-stakes investigations, regulatory matters, crisis management, or enforcement work.
• Working knowledge of trust and safety, cybersecurity, privacy, or platform regulation.
• Technical fluency sufficient to understand system architecture, data flows, and AI model behavior.
• Strong legal writing and drafting skills.
• Experience coordinating multi-stakeholder responses to time-sensitive matters and translating legal analysis into actionable guidance.
• Strong risk assessment and decision-making judgment.

Nice-to-haves

• Active membership in the California state bar.
• 4–8+ years of relevant legal experience.
• In-house product counsel experience at a technology company involving security or trust and safety, or law firm experience advising technology clients on regulatory investigations or enforcement.
• Experience with content moderation, platform safety, user wellbeing, or crisis management.
• Experience working with machine learning, safety and security research, infrastructure, or threat intelligence teams.
• Familiarity with AI systems, machine learning concepts, or novel technology products.
• Low-ego, hands-on working style and commitment to users affected by AI misuse.

Compensation & Benefits

• Annual salary range: $265,000–$335,000 USD.
• Hybrid role requiring work from the San Francisco office at least 3 days per week.
• Visa sponsorship may be available.