Head of Policy Design, Societal Harms

Responsibilities

• Lead, develop, and grow managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity.
• Coordinate policy decisions across harm areas and establish mechanisms to track decisions, ownership, rationale, consistency, and stakeholder involvement.
• Set strategy for how model policies, detection and enforcement systems, and product interventions complement model training and alignment work.
• Prioritize competing harm-area initiatives and communicate tradeoffs and rationale to leadership.
• Serve as escalation point for high-severity and ambiguous consumer-harm decisions, including emerging-risk response.
• Partner with engineering, data science, product, legal, and research throughout model development and launch.
• Engage external experts, civil society organizations, and regulators, translating their input into stronger policy and enforcement.

Requirements

• Experience leading teams, including managers or senior specialists, in AI safety, product policy, or a related field.
• Deep applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity.
• Exceptional cross-team collaboration and shared-decision-making skills.
• Working understanding of frontier-model development and deployment, including training, fine-tuning, evaluations, launches, consumer products, APIs, and agentic tools.
• Experience translating policy positions into enforceable, measurable mechanisms and communicating reasoning to technical and non-technical audiences, including executives.
• Sound judgment in ambiguous, high-consequence situations.
• Bachelor's degree or equivalent combination of education, training, and experience.

Preferred Qualifications

• Subject-matter depth in one or more relevant harm areas through academia, clinical practice, civil society, government, or trust and safety work.
• Experience working with model training or research teams on model behavior or deployed AI systems.
• Experience with generative AI safety systems, including 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.

Compensation

• Annual salary: $330,000–$395,000 USD.
• Hybrid policy requiring staff to work from an office at least 25% of the time; some roles may require more.
• Visa sponsorship may be available.