What are the responsibilities and job description for the Safeguards Account Abuse Lead position at Anthropic?
About the role
As the Safeguards Lead for Account Abuse, you will drive our cross-functional efforts to protect platform integrity, prevent financial abuse, and ensure sustainable growth through effective abuse prevention strategies. This is a Policy Operations Manager role focused on strategic cross-functional leadership, working closely with Product, Engineering, and Data Science.
Important Context: In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility approximately once a quarter.
Responsibilities:
- Manage team of AI Safeguards technical analysts
- Serve as the subject matter expert for account abuse prevention, providing guidance and expertise across teams
- Design and architect automated enforcement systems that scale effectively while maintaining high accuracy
- Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems
- Drive compliance with payment requirements and industry standards for fraud prevention
- Lead implementation of mitigations for abuse patterns and develop strategic response plans future abuse vectors
- Design and optimize appeals workflows and user communication systems
- Define and track key metrics to measure effectiveness and drive data-informed decisions
You may be a good fit if you have:
- 7 years of experience in Risk Management, Trust & Safety, Safeguards, or related fields
- Excellent people management skills
- Deep technical expertise in building and scaling abuse prevention programs
- Strong understanding of payment systems, fraud patterns, and compliance requirements
- Proven track record of driving complex technical projects across multiple teams
- Advanced skills in risk analysis, data analysis, and metric-driven decision making
- Strong technical background with understanding of machine learning and automation systems
- Expertise in SQL, Python or data analysis tools
- Excellence in technical communication and stakeholder collaboration
- Communication skills
