<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>36152c4f-9b4</externalid>
      <Title>Safeguards Enforcement Lead, Frontier Abuse Enforcement</Title>
      <Description><![CDATA[<p>About the role</p>
<p>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 across the Policy and Enforcement teams.</p>
<p>Responsibilities:</p>
<p>Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement</p>
<p>Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces</p>
<p>Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation</p>
<p>Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels</p>
<p>Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements</p>
<p>Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces</p>
<p>Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics</p>
<p>Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge</p>
<p>Qualifications:</p>
<p>Required</p>
<p>5+ years of experience in trust &amp; safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs</p>
<p>Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don&#39;t exist</p>
<p>Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination</p>
<p>Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations</p>
<p>Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity</p>
<p>Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings</p>
<p>Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering</p>
<p>Preferred</p>
<p>Familiarity with the AI/ML ecosystem , including how model distillation, fine-tuning, and synthetic data generation work in practice, and how actors attempt to obscure this activity</p>
<p>Experience conducting threat actor profiling or open-source investigations in a trust &amp; safety, intelligence, or legal context</p>
<p>Experience working with generative AI products, including using AI tools to accelerate investigative and analytical workflows</p>
<p>Background or interest in AI policy, IP enforcement, competitive intelligence, or AI governance</p>
<p>Experience coordinating with external enforcement partners or platform partners on escalated enforcement actions</p>
<p>Education: At least a Bachelor&#39;s degree in a relevant field, or equivalent experience.</p>
<p>The annual compensation range for this role is listed below.</p>
<p>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.</p>
<p>Annual Salary: $230,000-$270,000 USD</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$230,000-$270,000 USD</Salaryrange>
      <Skills>trust &amp; safety, abuse enforcement, fraud investigation, policy, data analysis, structured investigations, open-source intelligence, written and verbal communication, AI/ML ecosystem, threat actor profiling, generative AI products, AI policy, IP enforcement, competitive intelligence, AI governance</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5162211008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>be4dd922-943</externalid>
      <Title>Safeguards Enforcement Lead, Frontier Abuse Enforcement</Title>
      <Description><![CDATA[<p>About the role</p>
<p>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 across the Policy and Enforcement teams.</p>
<p>Responsibilities:</p>
<ul>
<li>Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement</li>
<li>Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces</li>
<li>Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation</li>
<li>Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels</li>
<li>Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements</li>
<li>Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces</li>
<li>Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics</li>
<li>Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge</li>
</ul>
<p>Qualifications:</p>
<ul>
<li>5+ years of experience in trust &amp; safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs</li>
<li>Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don&#39;t exist</li>
<li>Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination</li>
<li>Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations</li>
<li>Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity</li>
<li>Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings</li>
<li>Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering</li>
</ul>
<p>Preferred qualifications include familiarity with the AI/ML ecosystem, experience conducting threat actor profiling or open-source investigations, and experience working with generative AI products.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$230,000-$270,000 USD</Salaryrange>
      <Skills>trust &amp; safety, abuse enforcement, fraud investigation, policy, data analysis, structured investigations, open-source intelligence, threat actor profiling, generative AI products, AI/ML ecosystem, open-source investigations</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5162211008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>