Safeguards Enforcement Analyst, Ban Evasion & Recidivism

About the role

As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be recidivism: a ban that an actor can evade in five minutes isn't enforcement — it's friction. You'll own detecting when banned actors return, linking accounts across identities, and closing the re-registration paths that matter most. The mandate includes our highest-stakes populations, including preventing evasion of child-safety enforcement bans, where the cost of a missed return is unacceptable.

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