Policy Design Manager, Integrity and Authenticity

Anthropic•San Francisco, NY

23d•Hybrid

About The Position

Anthropic is hiring a Policy Design Manager focused on Integrity and Authenticity. The role owns policy for risks involving inauthentic behavior, influence activity, surveillance, and profiling of individuals and groups, and helps shape frameworks for authenticity, information integrity, privacy, and surveillance. The initial focus is translating the Integrity and Authenticity risk framework into clear, enforceable policies, addressing emerging threats, and creating guidance for consistent enforcement. This includes defining when upstream activities 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 and will help prevent products from being used to deceive people at scale, monitor or profile people without their knowledge or consent, or target populations based on sensitive characteristics. The role 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. The position is based under Anthropic’s current hybrid policy, which expects staff to work from an office at least 25% of the time; some roles may require more office attendance. A bachelor’s degree or an equivalent combination of education, training, and/or experience is required, in a relevant field demonstrated through coursework, training, or professional experience. The required years of experience will correlate with the internal job level requirements.

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 ability to translate complex threat frameworks into clear, enforceable guidelines.
Experience designing policies and workflows that support both 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.
A bachelor’s degree or equivalent combination of education, training, and/or experience in a relevant field, demonstrated through coursework, training, or professional experience.

Nice To Haves

5 or more 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, 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 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.
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 regarding 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 and define policy boundaries for covert monitoring, tracking, and surveillance across contexts, distinguishing malicious behavior from compliant dual-use scenarios.
Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited.
Map the surveillance lifecycle—from target selection and data collection through analysis and covert deployment—and define policy boundaries at each stage to enable early intervention.
Design and oversee evaluations measuring model capabilities related to social media monitoring, people-finding, predictive profiling, and identification or tracking of specific people.
Work with cross-functional partners to develop and improve safeguards against malicious behavior.
Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, emphasizing indicators of covert monitoring and population-level targeting.
Validate enforcement decisions and automated assessments, provide guidance on complex edge cases, and coordinate with civil society, privacy experts, threat intelligence researchers, and academics.
Serve as the escalation point for complex integrity and surveillance cases.