Runway Logo

Runway

AI Safety & Responsibility Product Safety Manager

Sorry, this job was removed at 08:09 p.m. (PST) on Monday, May 04, 2026
Be an Early Applicant
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

Similar Jobs

33 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
100K-125K Annually
Senior level
100K-125K Annually
Senior level
Cloud • Mobile • Software
Lead discovery, design, configuration, testing, and validation of accounting integrations between BuildOps and customers' ERPs. Map GL/accounts/entities, build and execute test plans for AP/AR/POs/payments, reconcile data, troubleshoot discrepancies, document solutions, and advise customers on best practices to ensure scalable, accurate end-to-end syncs.
Top Skills: APIsBoomiBuildopsCeligoCsvErpExcelGoogle SheetsIpaasMulesoftNetSuiteQuickbooks OnlineSage IntacctSpectrumViewpoint VistaWorkato
39 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Own reliability, automation, and DevOps for Coinbase's corporate IAM platform: on-call/incident response, CI/CD and IaC pipelines, identity lifecycle tooling, observability and disaster recovery, documentation, and cross-team IAM advisement to ensure secure, scalable access for a global workforce.
Top Skills: AbacAuth0AWSAzureC#Ci/CdContainer OrchestrationDuoEntraidGCPGenerative AiGitGoIacJavaMfaOktaPingPythonRbacRubySsoTerraform
39 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Senior SRE on the IT Operations team owning reliability, monitoring, and incident response for AI infrastructure. Build automation, CI/CD and Kubernetes tooling, improve observability and documentation, and develop internal full-stack tools using Go or Python. Partner with Infrastructure, Security, and Compliance to scale secure, resilient AI deployment pipelines.
Top Skills: AnsibleAWSBashChefCi/CdDockerEc2GitGoKubernetesLinuxPuppetPythonRubySaltTerraform

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

Runway is working to develop the next generation of world models and bring them to new products and industries. This requires proactive thinking about how this powerful, cutting-edge technology might be misused, and building effective mitigations.

We're looking for a Product Safety Manager to own safety assessments and threat modeling for Runway's products as they scale in scope and complexity. This role will be a core partner to engineering and product teams, ensuring that safety review is a first-class part of the development process; not a bottleneck, and not an afterthought.

This is a hands-on, high-impact role. You'll work directly on novel product surfaces—think custom avatars and world model applications in sensitive domains—and design the mitigations that allow us to ship responsibly and at speed.

What you’ll do
  • Lead safety assessments and threat modeling for new products, with a particular focus on completely new areas for the business

  • Design and document safety mitigations for novel product risks, and partner with engineering to implement them

  • Lead comprehensive red teaming efforts for new products and existing products

  • Serve as the dedicated safety point of contact for new products—attending planning and design sessions, raising risks early, and owning updates to safety assessments as product designs evolve

  • Stay current on the evolving landscape of AI product safety, including regulatory expectations and industry best practices

  • Support the broader AI Safety and Responsibility team with cross-functional safety questions and investigations as they relate to product features

  • 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 product safety, trust & safety, risk assessment, or a related discipline at a technology company

  • Strong understanding of content moderation systems

  • Demonstrated experience conducting safety assessments or threat modeling for consumer-facing products

  • Excellent written communication skills, including ability to translate complex safety issues into clear, functional documentation

  • 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

  • Strong cross-functional collaboration skills, including ability to build trust with product managers and engineers and integrate safety into their workflows without becoming a bottleneck

Nice to Have
  • Familiarity with generative AI products, including video, image, or avatar-based applications

  • Experience in a domain with heightened regulatory scrutiny, such as healthcare, education, or children's products

  • Experience in a high-growth startup environment where T&S 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

Runway San Francisco, California, USA Office

San Francisco, CA, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account