The opportunity
As an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks…
What you'll do
Develop and define policy boundaries for covert monitoring, tracking, and: surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios
Write policy guidance on facial recognition, voice cloning, and geolocation: inference, specifying which uses require consent and which are prohibited outright
Map the surveillance lifecycle, from target selection and data collection: through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain
Design and oversee evaluations that measure the model's capability to support: social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors
Write and refine external-facing Usage Policy language and develop training: guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting
Validate enforcement decisions and automated assessments, provide policy: guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases
What they're looking for
- + years of experience in policy development, trust and safety, threat: intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse
- Experience in privacy policy, privacy engineering, or data protection work,: including familiarity with privacy impact assessments and data minimization principles
- Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns
- Experience investigating inauthentic networks, covert monitoring, or: surveillance abuses at a platform, research organization, or government body
- Background in digital forensics, open-source intelligence, or threat attribution
- Knowledge of persuasion theory, cognitive biases, and deceptive communication: techniques, including social engineering and pretexting methods
- Familiarity with human rights and privacy frameworks as they apply to: surveillance, including protections for journalists, activists, and marginalized communities
- Experience with trust and safety operations involving content moderation: evasion, bot detection, or platform scraping enforcement
