# Head of Policy Design, Societal Harms

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $330k – $395k/yr
**Experience:** 8+ years
**Skills:** Ai Safety, Product Policy, Trust And Safety, Frontier Models, Model Training, Fine-Tuning, Model Evaluation, Llm Classification, Enforcement Systems, Generative AI, Agentic Ai Tools, Data Science
**Posted:** 2026-08-28

> Leads policy design teams defining and mitigating consumer harms across AI products, partnering with research, engineering, product, legal, and external stakeholders. Requires leadership experience, deep consumer-harm expertise, frontier-model fluency, and strong judgment in high-consequence decisions.

## Job Description

## 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.

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