Safeguards Enforcement Analyst, Integrity & Authenticity

Key Responsibilities

• Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy.
• Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems.
• Review flagged content to drive enforcement and policy improvements.
• Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups.
• Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios.
• Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows.

Minimum Qualifications

• Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms.
• Experience standing up and scaling policy enforcement or content review workflows.
• Proficiency in SQL and/or other data analysis tools to draw insights from large datasets.
• Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams.
• Experience working with generative AI products, including writing effective prompts for content review and enforcement.
• Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space.

Preferred Qualifications

• Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns.
• Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis.
• Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms.
• Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale.
• Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions.
• Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR).
• Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues.
• Proficiency in Python for data analysis and automation.
• Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments.

Compensation & Benefits

• Annual salary: $285,000–$330,000 USD.
• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience in a relevant field.
• Location-based hybrid policy: Expect all staff to be in one of our offices at least 25% of the time (some roles may require more).