The Safeguards Enforcement Lead, Cyber Harms is responsible for managing enforcement actions across Anthropic’s products and services, focusing on detecting and mitigating malicious use of AI systems for cyber operations. The role leads a team of Cyber Enforcement Analysts and contractors, develops strategic frameworks for flagged activity, collaborates with policy design, engineering, and data science teams, and stays current on cyber threat trends to inform enforcement decisions.
Safeguards Enforcement Lead, Cyber Harms na Anthropic
Remoto - Remote (Travel Required); Washington, DC; San Francisco, CA; New York City, NY
Ver mais vagas na AnthropicSalary
USD 285,000 - 330,000
Requirements
Skills
- Experience as a people manager
- Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
- Experience performing content review, abuse investigations, or policy enforcement at volume
- Proficiency in SQL and/or Python for data analysis and threat detection
- Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
- Experience working with generative AI products, including writing effective prompts for content review and enforcement
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Responsibilities
- Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy
- Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
- Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases
- Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios
- Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations
- Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions
Technologies
SQLPythonGenerative AI
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