Cyber Safeguards Enforcement Lead

EngineersOfAI

San Francisco (CA)

Hybrid

USD 180,000 - 280,000

Full time

14 days+

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Job summary

Anthropic is seeking an Enforcement Lead to manage and execute enforcement actions across products and services, focusing on detecting misuse of AI systems for cyber operations. You will lead a team of Cyber Enforcement Analysts and contractors, building frameworks and coordinating with Policy, Engineering, and Legal teams.

Safety and responsible AI are central to our mission; this role may involve sensitive content and weekend escalations.

Qualifications

  • Experience as a people manager.
  • Experience in cybersecurity, including 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 diverse stakeholders (Product, Policy, Engineering, Legal).
  • Experience working with generative AI products, including prompts for content review and enforcement.

Responsibilities

  • Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy.
  • Create strategies to detect and mitigate misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harms.
  • 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 evolving cyber threat landscape.

Skills

People management
Cybersecurity
Content review
Policy enforcement
SQL
Python
Stakeholder communication
AI policy

Tools

SQL
Python

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy.

Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.

Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Key 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

Minimum qualifications
  • 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

Preferred qualifications
  • Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company

  • Experience with large language models and an understanding of how AI technology could be misused for cyber operations

  • Experience operating within abuse monitoring programs or enforcement review systems

  • Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space

  • Experience working with government agencies, regulated environments, or information sharing communities

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:
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