Senior AI Enforcement Analyst, Safety Operations

Responsibilities

• Own Automated Enforcement Quality: Serve as a strategic owner for enforcement outcomes across AI-driven systems. You will diagnose underperformance and make go/no-go recommendations on when models are ready for production.
• Translate Policy Into Models: Act as the primary “policy-to-model” translator. You’ll craft prompts, define evaluation criteria, and curate high-quality datasets (“golden sets”) that teach models to distinguish between contextual debate and policy violations.
• Guide Model Evolution: Monitor enforcement performance over time, identifying concept drift, policy changes, or emerging threats that require retraining, prompt updates, or evaluation redesign.
• Surface Blind Spots: Develop monitoring strategies for niche communities, edge cases, and emerging behaviors to ensure enforcement systems reflect Reddit’s diversity and complexity.
• Safeguard Model Integrity: Flag risks, escalate incidents, and recommend rollbacks or mitigations when automated systems fall below quality or safety thresholds, in partnership with ML and Product stakeholders.

Qualifications

• 5-7+ years of experience in Trust & Safety, with hands-on exposure to automated or scaled enforcement systems.
• AI-Literate with an understanding of how LLM-b