Trust & Safety Policy Manager

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role * Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle As Runway’s products evolve and become increasingly capable, and as our user base expands, the need for clear and accurate content policies has never been greater. We're looking for a Policy Manager to own and evolve the policies that govern what our AI systems can and cannot do—across our consumer products, enterprise offerings, and third-party model integrations. This role will own the creation, iteration, maintenance, and implementation of Runway’s content policies, working to capture genuine harms without unnecessarily blocking legitimate use cases. As we invest more heavily in LLM-based moderation, the quality of our policy will increasingly determine the quality of our moderation, and this role ensures that policy evolves along with the product and surrounding environment. What you’ll do Own and maintain Runway's content policies, balancing user safety, creative expression, and operational feasibility Translate policies into LLM prompts and continuously iterate to drive accuracy improvements Track shifts in cultural and market norms and new use cases, and continuously evaluate and update policies accordingly Build frameworks for ongoing policy review, ensuring policy remains nimble, accurate, and appropriate for Runway’s user base Serve as the policy subject matter expert for key internal partners, particularly our enterprise enablement team Translate Runway’s policies into clear documentation for internal teams, enterprise and API partners, and end users As part of a small, collaborative TS team, contribute to work across the broader team as priorities and needs evolve What you’ll need 5+ years of experience in content policy, trust safety policy, or a closely related field at a technology company Strong understanding of content moderation systems Hands-on experience using machine learning systems for content moderation, policy enforcement, or risk assessment Excellent written communication skills, including ability to translate nuanced policy positions into clear, functional documentation Strong ability to use data/statistics to inform policy decisions Comfort with ambiguity and a track record of making principled decisions in fast-moving environments Ability to act as a self-starter, taking initiative to identify opportunities to improve or build on processes and work products Collaborative working style with the ability to influence cross-functional teams without direct authority Nice to Have Familiarity with generative AI products, including video, image, or avatar-based applications Experience using LLMs for policy drafting and/or enforcement Experience in a high-growth startup environment where TS/policy infrastructure was being built from scratch Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rate ... (truncated, view full listing at source)