Safeguards Enforcement Analyst, Ban Evasion & Recidivism

Position Overview As a Safeguards Enforcement Analyst on the account abuse team, you will build and execute enforcement workflows that keep our products safe, focusing on detecting and mitigating potential harm. Your initial focus will be recidivism: ensuring banned actors cannot evade enforcement quickly. You will own detection of returning actors, linking accounts across identities, and closing re‑registration paths. The role includes high‑stakes populations such as child‑safety enforcement bans, and may expand into broader areas of enforcement over time. Safety is core to our mission, and you will help shape policy enforcement so that users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key Responsibilities Investigate evasion clusters end to end — from a single appeal or signal anomaly to the full linked actor network. Convert individual findings into durable systemic controls and detection proposals. Operationalize re‑registration controls for high‑severity ban populations. Partner with Engineering and Data Science teams on account‑linking signals to connect returning actors across identities. Build the recidivism measurement framework: how often banned actors return, how fast we catch them, and which controls reduce return rates. Author playbooks for contractor‑supported evasion review with QA against your own gold standard. Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision‑making and workflows. Minimum Qualifications Experience investigating ban evasion, multi‑accounting, or repeat fraud actors at a platform with adversarial users. Fluency in SQL and comfort building your own analyses across large account and event datasets. Experience working with fraud or identity‑linking signals and a working understanding of their precision/recall tradeoffs. Rigor about evidence standards — comfort with the asymmetric cost of false positives in severe‑harm enforcement. A track record of turning one‑off investigations into repeatable detection logic and policy. Strong written communication skills, with experience producing clear briefs and recommendations for technical and non‑technical stakeholders. Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams. Preferred Qualifications Experience using payment or network risk signals in an enforcement context. Experience with child‑safety or other high‑severity integrity enforcement. Experience collaborating directly with detection engineering or data science teams on rule deployment. A deep interest in AI safety and responsible technology development. Experience writing effective prompts for generative AI systems in a content review or enforcement context. Compensation Annual Salary: $245,000 — $285,000 USD. Benefits & Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: Relevant coursework, training, or professional experience tied to the role. Minimum years of experience: Correlates with the internal job level requirements for the position. Location‑based hybrid policy: Staff are expected to be in one of our offices at least 25% of the time; some roles may require more office presence. Visa sponsorship: We sponsor visas and will make every reasonable effort to obtain a visa for a qualified candidate. We are an equal‑opportunity employer. In addition to complying with all applicable laws, we encourage applicants from underrepresented groups to apply. We strive to include a range of diverse perspectives on our team. Your safety matters to us. #J-18808-Ljbffr Doist