Safeguards Enforcement Lead, User Well-Being

anthropic; San Francisco, New York, Washington (CA, NY, District of Columbia); On-site; USD 285,000 - 330,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office in SF/NYP available

Job summary

Anthropic is seeking a Safeguards Enforcement Lead for the User Well-Being team in a management role. You will oversee child safety, mental health, abuse and exploitation, and age assurance enforcement workflows, scaling both people and systems.

You will collaborate with Engineering, Policy, and Legal to close enforcement gaps as threats evolve. You will lead a team of policy reviewers, design scalable workflows, and maintain documentation and guidelines to ensure consistent decisions.

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.
• 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

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

Skills

Team leadership

Policy enforcement

Risk communication

Stakeholder collaboration

Data analysis

SQL proficiency

Education

Bachelor’s degree

Tools

Python

Job description

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 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.

$285,000 - $330,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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