The opportunity
As Safety & Security Counsel, you will serve as the first-line legal advisor counseling on the full arc of keeping Claude and Anthropic safe and secure: usage policy design and enforcement frameworks, safeguards R&D, misuse detection and response, sensitive escalations, threat…
What you'll do
Partner with Safeguards (trust & safety) policy teams on the design and: iteration of usage policies across harm areas (e.g., CBRNE, cyber, user wellbeing, scaled abuse and influence operations, and distillation), including how policies translate into detection and enforcement
Advise on policy enforcement frameworks such as account actions, appeals, enforcement systems and thresholds
Counsel on sensitive escalations and strategic response, including matters: involving governments, law enforcement, regulators, and the press
Advise on safety and security threat intelligence investigations, bug bounty: and red-team programs, and internal and external safety and security testing arrangements
Support safeguards and security engineering, ML, and data science teams on: building new tooling and detection mechanisms, including as it relates to data governance and privacy related considerations
Serve as a first-line legal contact for safety and security incidents,: providing real-time guidance during incident response and assessing notification and reporting obligations under applicable legal frameworks and contractual commitments
What they're looking for
- Active membership in the California state bar
- + years of relevant legal experience
- In-house (product counsel) experience at a technology company working on: security and/or trust & safety issues, or law firm experience advising tech clients on regulatory investigations or enforcement matters
- Experience with content moderation, platform safety (including user wellbeing issues), or crisis management
- Facility working with very technical teams, including machine learning,: safety and security research, infrastructure, and threat intel
- Familiarity with AI systems, machine learning concepts, or experience advising on novel technology products
- A low-ego, hands-on working style and a commitment to doing right by users: and the people affected by misuse of AI systems