Policy Design Manager, Integrity and Authenticity (AI)

Location: San Francisco, CA; New York City, NY; or Washington, DC. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office time.

Annual salary: $245,000–$285,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

• Develop policy boundaries for covert monitoring, tracking, surveillance, inauthentic behavior, influence activity, and profiling.
• Write guidance covering facial recognition, voice cloning, geolocation inference, consent requirements, and prohibited uses.
• Map the surveillance lifecycle from target selection and data collection through analysis and covert deployment, defining intervention points.
• Design and oversee evaluations for social media monitoring, people-finding, predictive profiling, and identifying or tracking specific people.
• Develop external Usage Policy language, training guidelines, assessment rubrics, and evaluation protocols for enforcement teams.
• Validate enforcement decisions, advise on complex edge cases, coordinate with civil society and research experts, and escalate integrity and surveillance cases.

Requirements

• Working knowledge of deceptive campaigns, covert monitoring, account networks, bot operations, data aggregation pipelines, and attribution methods.
• Familiarity with surveillance technologies and misuse, including social media monitoring, people-search services, location tracking, spyware, facial recognition, and open-source intelligence.
• Knowledge of data protection, privacy, platform regulation, and digital services accountability frameworks.
• Strong policy writing skills and experience translating complex threat frameworks into clear, enforceable guidelines.
• Experience designing workflows for human enforcement decisions and technical implementation in ML classifiers or detection pipelines.
• Bachelor’s degree or equivalent education, training, or experience; the relevant field may be demonstrated through coursework, training, or professional experience.

Nice to have

• 5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity.
• Experience in privacy policy, privacy engineering, data protection, digital forensics, open-source intelligence, or threat attribution.
• Experience investigating inauthentic networks, covert monitoring, surveillance abuse, content moderation evasion, bot detection, or platform scraping.
• Experience with AI governance, digital platform regulation, adversarial testing, red teaming, or vulnerability assessments.
• Understanding of generative AI misuse involving synthetic personas, social engineering, predictive profiling, or surveillance at scale.

Culture & Benefits

• Highly collaborative environment spanning research, engineering, policy, legal, data science, and threat intelligence.
• Focus on large-scale research efforts and empirical work toward steerable, trustworthy AI.
• Competitive compensation, optional equity donation matching, generous vacation and parental leave, and flexible working hours.
• Visa sponsorship is available, although successful sponsorship depends on the role and candidate.
• The role may involve exposure to explicit sexual, violent, psychologically disturbing, surveillance-related, and privacy-violation content.