Policy Design Manager, Integrity and Authenticity

Anthropic•Washington, DC

24d•$245,000 - $285,000•Hybrid

About The Position

Anthropic is hiring an Integrity and Authenticity Policy Manager to develop, refine, and maintain policies that prevent AI systems from being misused for deception, manipulation, and unauthorized monitoring at scale. The role owns policy for risks related to inauthentic behavior, influence activity, surveillance, and profiling of individuals and groups, and helps shape frameworks across authenticity, information integrity, privacy, and surveillance. The initial focus is translating the Integrity and Authenticity risk framework into clear, enforceable policies; addressing emerging threats identified by partner teams; and establishing consistent enforcement guidance. The manager will define where apparently routine upstream actions—such as compiling records about a person, automating account creation, or sorting users by inferred identity—become prohibited. The role will expand as AI capabilities advance, helping ensure products cannot be used to deceive people at scale, monitor or profile people without their knowledge or consent, or target populations based on sensitive characteristics. The position may involve exposure to explicit, sexual, violent, or psychologically disturbing content, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people. Anthropic expects staff to work from an office at least 25% of the time under its current hybrid policy, although some roles may require more office time. A bachelor's degree or an equivalent combination of education, training, and/or experience is required; the field of study must be relevant to the role as demonstrated through coursework, training, or professional experience. Required years of experience will correlate with the internal job level. The annual salary range is $245,000–$285,000 USD.

Requirements

Working knowledge of how deceptive campaigns and covert monitoring operate, including account networks, bot operations, data aggregation pipelines, and attribution methods.
Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals.
General knowledge of global regulations concerning data protection, privacy, platform regulation, and digital services accountability.
Strong policy-writing skills and the ability to translate complex threat frameworks into clear, enforceable guidelines.
Experience designing policies and workflows that support clear human enforcement decisions and technical implementation in ML classifiers and detection pipelines.
Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives.
Excellent written and verbal communication skills, including the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers.
Bachelor’s degree or equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.

Nice To Haves

5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work involving inauthentic behavior, surveillance-related abuse, or data misuse.
Experience in privacy policy, privacy engineering, or data protection, 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.
Familiarity with human rights and privacy frameworks related 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.
Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation.
Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling.
Familiarity with generative AI capabilities and understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at scale.

Responsibilities

Develop policy boundaries for covert monitoring, tracking, and surveillance across contexts, distinguishing malicious behavior from compliant dual-use scenarios.
Write guidance on facial recognition, voice cloning, and geolocation inference, including which uses require consent and which are prohibited.
Map the surveillance lifecycle from target selection and data collection through analysis and covert deployment, defining policy boundaries at each stage to enable early intervention.
Design and oversee evaluations of model capabilities related to social media monitoring, people-finding, predictive profiling, and identifying or tracking specific people; collaborate with partners to develop and improve safeguards.
Write and refine external-facing Usage Policy language, and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on covert monitoring and population-level targeting.
Validate enforcement decisions and automated assessments, advise 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 an escalation point for complex integrity and surveillance cases.