AI Safety & Responsibility Policy Manager

Sorry, this job was removed at 08:09 p.m. (CST) on Monday, May 04, 2026
Hiring Remotely in USA
Remote
Artificial Intelligence • Computer Vision • Machine Learning • Software
An applied AI research company building for the next frontier of intelligence and human creativity
The Role

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 and Europe — we also have offices in NYC, San Francisco, Seattle, and London

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 AI Safety and Responsibility 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 T&S/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 rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Working at Runway

Great things come from great teams. We’d love to hear from you.

We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.

More about Runway

  • Universal World Simulator

  • GWM-1

  • Gen-4.5

  • General World Models

  • Robotics SDK

  • Conversational Real-time Agents

  • Runway Studios

We're excited to be recognized as a best place to work:

Crain's | InHerSight | BuiltIn NYC | INC

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The Company
HQ: New York, NY
160 Employees
Year Founded: 2018

What We Do

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.

Why Work With Us

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.

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