Enforcement Analyst, Agentic Alignment

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About the role</strong></h2> <p>Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work.</p> <p><strong><em>Important context for this role: 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.<br></em></strong></p> <h2><strong>Key responsibilities</strong></h2> <ul> <li>Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code&nbsp;</li> <li>Triage cases by severity and urgency and share through the appropriate channels</li> <li>Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale</li> <li>Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision</li> <li>Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential</li> <li>Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership</li> <li>Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior</li> <li>Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge</li> <li>Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve</li> <li>Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling</li> <li>Contribute to regular reports on agentic harm trends and enforcement outcomes</li> </ul> <h2><strong>Minimum qualifications</strong></h2> <ul> <li>Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters</li> <li>Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity</li> <li>Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings</li> <li>Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on</li> <li>Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination</li> <li>Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences</li> <li>Have sound judgment about when a case needs escalation, and the resilience to work with difficult content</li> </ul> <h2><strong>Preferred qualifications</strong></h2> <ul> <li>Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so</li> <li>Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter</li> <li>Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist</li> <li>Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</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></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$245,000</span><span class="divider">&mdash;</span><span>$285,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> 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.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;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.</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p> <h2><strong>How we're different</strong></h2> <p>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.</p> <p>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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p> <h2><strong>Come work with us!</strong></h2> <p>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. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>