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Safeguards Enforcement Lead, User Well

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: anthropic
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 285000 - 330000 USD Yearly USD 285000.00 330000.00 YEAR
Job Description & How to Apply Below
Position: Safeguards Enforcement Lead, User Well-Being

New York City, NY;
Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC

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.

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

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…

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