As an Enforcement Analyst focused on Radiological & Nuclear Harms, you will play a critical role in protecting against the misuse of AI systems for radiological and nuclear harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of radiological and nuclear threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of radiological and nuclear knowledge and enabling technologies well enough to separate the benign from the malicious - and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish this. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities • Enforce Usage Policies with a specific focus on detecting and mitigating potential radiological and nuclear risks. • Take ownership of enforcement monitoring workflows for the radiological and nuclear harm area, improving end-to-end detection, investigation, triage, and escalation processes. • Monitor and analyze platform activity to identify emerging patterns related to radiological and nuclear threats (within the broader CBRNE landscape) that may require policy updates or interventions. • Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. • Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. • Proactively surface trends and propose improvements to detection methods and review workflows. • Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations. • Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. • Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to radiological and nuclear policy violations. Minimum qualifications • Hold an undergraduate degree in a physics- or nuclear-related field (e.g., physics, nuclear engineering, health physics, radiochemistry) and/or relevant professional experience in a related field. • Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. • Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. • Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. • Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. • Can maintain emotional resilience when working with potentially disturbing content over time. • Communicate clearly in writing and can translate technical radiological or nuclear concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications • Subject matter expertise in radiological and nuclear defense, security, WMD/CBRNE non-proliferation, or threat-intelligence. • Understand where real-world radiological and nuclear risk actually lies - adversary intent, special-nuclear-material and source acquisition, enrichment, and device pathways. • Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. • Familiarity with IAEA safeguards, the NPT, special-nuclear-material and radioactive-source security, NNSA guidelines, and proliferation-pathway analysis. 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: $245,000-$285,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. 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.