Safeguards Enforcement Analyst, Age-Appropriate Design

Overview

Safeguards Enforcement Analyst on the user well-being team, building and executing enforcement workflows to keep products safe, initially focused on age.

What you'll do

• Design and architect automated enforcement systems and scalable review workflows.
• Partner with Engineering and Data Science to optimize detection models for policy violations and enforcement systems.
• Review flagged content to drive enforcement actions and policy improvements.
• Enforce usage policies by detecting and mitigating potential harmful use of AI systems.
• Coordinate with Legal, Public Policy, and Privacy stakeholders on proportionate, privacy-preserving age assurance.
• Provide Safeguards policy feedback based on real enforcement scenarios.
• Operate layered age assurance enforcement including self-declaration, behavioral signals, verification, and ban appeals.

What you'll need

• Experience in trust and safety, online child safety, age assurance, privacy, product policy, or a related field.
• Subject matter expertise in one or more areas such as age assurance/verification, child online safety, privacy-preserving verification, or content classification for young people.
• Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners.
• Experience navigating evolving regulatory landscapes and enforcement best practices related to age assurance and related content categories.
• A thoughtful perspective on privacy/safety tradeoffs in age verification and when less invasive approaches are appropriate.
• Strong written communication skills for briefs and recommendations to technical and non-technical stakeholders.
• Comfort using data (SQL or similar tools) to measure performance and inform decisions.

Details

• On-call responsibility across the Policy and Enforcement teams.
• May be exposed to explicit content spanning sexual, violent, or psychologically disturbing topics.
• Annual compensation range: $245,000–$285,000 USD.
• Location-based hybrid: expected to be in one of the offices at least 25% of the time.
• Visa sponsorship is available, but not guaranteed for every role/candidate.
• Minimum education: Bachelor’s degree or equivalent combination of education/training/experience.