Safeguards Enforcement Lead, User Well-Being

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 a Safeguards Enforcement Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms. This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities - Manage a team of individual contributors across multiple policy areas under the User Well-Being banner - Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management - Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions - Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies - Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale - Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows - Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership - Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications - Experience managing teams in the User Well-Being space - Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas - Experience managing or coordinating content review operations, including quality assurance and workflow management - Experience standing up and scaling policy enforcement or content review workflows - Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends - Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams - Understanding of the challenges involved in implementing product policies at scale in the content moderation space Preferred qualifications - Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), online child protection, mental wellness, and age assurance - Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies - Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks - Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate abusive content - Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material - Proficiency in Python for workflow automation or data analysis - Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection - Familiarity with age assurance technologies and their role in child safety enforcement 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: $285,000—$330,000 USD Logistics Minimum education: Bachelor’s degree or an equi

Experience managing teams in the User Well-Being space. Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas. Experience managing or coordinating content review operations, including quality assurance and workflow management. Experience standing up and scaling policy enforcement or content review workflows. Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends. Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams. Understanding of the challenges involved in implementing product policies at scale in the content moderation space.

Manage a team of individual contributors across multiple policy areas under the User Well-Being banner. Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management. Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies. Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale. Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows. Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership. Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy.