Head of Policy Design, Societal Harms (AI)

Location: San Francisco, CA; hybrid policy requiring staff to work from an Anthropic office at least 25% of the time

Annual salary: $330,000–$395,000 USD

Company

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

What you will do

• Lead and grow managers and teams responsible for child safety, user well-being, harmful manipulation, election integrity, and other consumer harm areas.
• Coordinate policy decisions across the portfolio and maintain mechanisms for tracking ownership, rationale, consistency, and implementation.
• Set the strategy for policies, detection and enforcement systems, and product interventions that complement model-level safeguards.
• Prioritize competing harm-area investments and communicate trade-offs and escalation decisions to leadership.
• Partner with engineering, data science, product, legal, research, and alignment training teams throughout model development and launch.
• Engage external experts, civil society organizations, and regulators to strengthen policy and enforcement.

Requirements

• Experience leading teams, including managers or senior specialists, in AI safety, product policy, or a related field.
• Deep applied knowledge of consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity.
• Strong cross-functional collaboration skills and experience reaching shared decisions across teams.
• Working knowledge of frontier model training, fine-tuning, evaluations, launch processes, consumer products, APIs, and agentic tools.
• Experience translating policy positions into enforceable and measurable mechanisms for technical and non-technical audiences.
• Bachelor’s degree or equivalent education, training, and experience.

Nice to have

• Subject-matter expertise from academia, clinical practice, civil society, government, or trust and safety.
• Experience with model training, generative AI safety systems, LLM-based classification, evaluation, or enforcement pipelines.
• Experience engaging child safety organizations, election authorities, mental health experts, or regulators.
• Experience using agentic AI tools to scale analysis and operations.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business functions.
• Flexible working hours and a collaborative office environment.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, with immigration lawyer support, although sponsorship cannot be guaranteed for every role or candidate.