Runway

Role Description 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. We are growing our commercial team and looking for growth-minded leaders who are passionate about the future of AI and content creation. As our first leader within Sales Development, you will build and scale our founding BDR organization. This role is equal parts people leadership and systems building. You’ll directly manage and develop our early BDR team (currently two people) while building the infrastructure, processes, and outbound strategies that define the future of prospecting at Runway. We’re not looking to replicate traditional SDR playbooks — we want someone excited to rethink sales development through AI-powered workflows, automation, product signals, and highly personalized outreach, while helping shape how Runway wins in the enterprise market. What you’ll do - Lead, mentor, and grow Runway’s founding BDR team, creating a high-performance culture centered around curiosity, experimentation, and continuous improvement - Build the systems, processes, and infrastructure that power a modern AI-first sales development organization - Define how AI tooling, automation, and human creativity work together across outbound prospecting, research, personalization, and pipeline generation - Turn product usage signals, API activity, and inbound demand into scalable enterprise opportunity generation workflows - Develop highly targeted, vertical-specific outbound motions aligned to Runway’s evolving use cases and customer needs - Continuously test and refine messaging, sequencing, workflows, and enablement programs to improve team effectiveness - Partner closely with Sales, Marketing, Creative, and RevOps to shape ICP strategy, lead routing, and overall GTM execution - Work alongside sales leadership to help define and scale Runway’s enterprise sales motion Qualifications - 5+ years of experience in sales, growth, or GTM leadership roles - Experience managing and developing high-performing SDR/ BDR teams - Strong systems-thinking mindset with experience building outbound processes and operational infrastructure from the ground up - Deep interest in AI-native workflows and a strong point of view on how AI will reshape modern prospecting and sales development - Experience operating in product-led, usage-based, or highly technical GTM environments - Highly analytical and data-driven, with the ability to use insights to drive strategy and execution - Comfortable operating in fast-moving, ambiguous environments and excited to experiment and iterate quickly - Strong communicator and cross-functional collaborator with a builder mentality Benefits - 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. - 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. Company Description - 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

Role Description Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations and strategic IP-heavy partnerships. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams. While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must. What you’ll do - Lead negotiations with Runway’s customers and strategic partners, including B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements. - Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, and our legal tech stack. - Empower the sales team with tools and knowledge to close deals quickly. - Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business. - Closely follow technical, legal, and policy developments in the generative AI space. - Manage outside counsel as appropriate. Qualifications - A J.D. and admission in good standing with at least one state bar. - 6+ years of experience negotiating complex commercial contracts, including significant experience on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company. - Experience with strategic IP-heavy partnerships and preferably B2C legal issues as well. - Strong business acumen. - The capacity to think big; a bias for action; and a willingness to take ownership. - Growth mindset that prioritizes continuous operational improvement and service excellence. - Experience with scaling business processes globally and operating in environments that have achieved significant scale. - Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry. - Nice to have: experience managing privacy programs relating to marketing, users, and enterprise customer/vendor agreements. Benefits - 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. - Factors that go into salary determinations include relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. - 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 will be communicated to candidates. Working at Runway Great things come from great teams. 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. Company Description - 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

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 North America + Europe — we also have offices in NYC, San Francisco, and Seattle We are looking for someone who lives at the intersection of code and creativity – deeply technical, genuinely plugged into the generative AI space, and excited to build the developer community around some of the most advanced video and image models. This is a high-ownership, high-visibility role with real influence over how developers experience Runway. You will own the end-to-end developer experience – driving awareness, activation, and long-term engagement among the creative technologists and engineers building on top of our generative model APIs. Success in this role requires a blend of technical depth, creative sensibility, and a genuine enthusiasm for where generative AI is going. What you’ll do - Own the Developer Funnel, End-to-End - Own the full developer funnel from awareness to activation; drive adoption and engagement across our API user base with a structured, data-informed engagement strategy - Design onboarding experiences that get creative developers from zero to their first successful API build as quickly as possible - Manage the motion from self-serve to enterprise API relationships – identify high-potential developers through usage and spend signals and route them into the right engagement track - Track, analyze, and report on developer funnel metrics and API engagement using BI tools and data - Build & Energize the Creative Developer Community - Own hackathons, sponsorships, and developer events end-to-end – from concept and logistics to execution and follow-through - Build and nurture a community of creative technologists, researchers, and developers pushing the boundaries of generative video and image - Represent Runway at conferences, meetups, and online communities; be a recognizable and trusted presence in the generative AI developer ecosystem - Surface developer sentiment, emerging use cases, and market signals back to internal teams to inform product direction - Produce Content That Gets Developers Building - Produce high-quality tutorials, demos, sample repos, and technical walkthroughs that showcase what's possible with our models and API - Own social and X content strategy for the developer audience – rapid demos, creative experiments, prompting tips, and technical threads - Run regular developer communications including email newsletters, changelogs, and recurring developer office hours - Prototype creative, targeted content that meets developers where they are - Champion Developers Internally – and Runway Externally - Serve as the primary point of contact for the developer community; be genuinely accessible, responsive, and useful - Build a tight, structured feedback loop between developers and the Product and Engineering teams – surface trends, flag blockers, and advocate for developer needs - Partner with Marketing and GTM to create developer-focused activation campaigns that resonate with a technical, creative audience - Define and track success metrics tied to developer activation, API engagement, and community growth What you’ll need - 5+ years in developer relations, developer advocacy, or a highly technical, community-facing role – ideally within AI/ML, creative tech, or a research-adjacent organization - Deep, hands-on familiarity with generative video and image models; you've built with them, you experiment constantly, and you follow this space closely - Comfort operating in a 0-to-1 environment – you've built programs, communities, or developer motions from scratch and know how to create structure and momentum without a playbook to follow - Strong engineering fundamentals – you can write code, build demos independently, debug API integrations, and speak credibly with technical audiences - A genuine creative sensibility – you understand the needs of designers, filmmakers, and creative technologists, not just traditional software engineers, and you move fluidly between those worlds - Proven track record of driving developer community growth and API adoption with measurable outcomes - Experience producing developer-facing content across formats: documentation, video demos, short-form social, and live technical presentations - Experience running developer events end-to-end: hackathons, workshops, sponsorships, and office hours - Deep enthusiasm for generative AI; you stay close to the technology, build with it, and have a strong point of view on where it's going 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

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 North America + Europe — we also have offices in NYC, San Francisco, and Seattle We are looking for a Mobile Engineer to join our team and help build the next generation of AI-powered creative tools on iOS and Android. You will own key product surfaces in our React Native app, from generative video workflows and an AI assistant chat experience, to real-time media playback, ad/storyboard creation tools, and character interactions powered by LiveKit. Ownership here goes beyond writing code: you will instrument features for measurement, manage feature-flag rollouts, monitor for stability and usability post-launch, and use those insights to help inform what we build next. We are seeking engineers with strong mobile fundamentals, a high bar for UX quality, and the drive to see features through from prototype to production and beyond. A peek at our technical stack Our mobile app is built with React Native and Expo in TypeScript. Navigation is handled by React Navigation (native-stack, drawer, modals), and we rely on TanStack Query alongside React Context patterns for state management. The UI layer leans on Reanimated, Skia, and Expo modules for rich animations, graphics, and media handling (video playback, cropping, image manipulation, camera). We integrate LiveKit for real-time video, Mixpanel for analytics, and Sentry for error monitoring. Builds and OTA updates ship through EAS (Expo Application Services), with CI on GitHub Actions. What you’ll do - Build and ship product features in a React Native app that puts cutting-edge generative AI video models directly in users' hands - Own features through their full lifecycle: instrument analytics, manage feature-flag rollouts, monitor stability and usability post-launch, and surface learnings that inform next steps - Help keep the mobile app up to date with the latest AI capabilities and contribute to a continuous stream of experiments aimed at improving retention and engagement - Own complex, media-rich UI surfaces: video playback and cropping, asset galleries, multi-step storyboard/ad-builder workflows, and interactive prompt interfaces - Bring strong UX taste to every feature, ensuring interactions feel polished, intuitive, and native to each platform - Develop and maintain an AI-powered chat assistant experience with streaming responses, tool-use handlers, and rich message rendering - Integrate real-time audio/video features using LiveKit for character call experiences - Collaborate with backend and web engineers to design and consume APIs that power generative AI tools, asset management, billing, and in-app purchases - Improve app performance, startup time, animation smoothness, and reliability across iOS and Android - Participate in release engineering, managing EAS builds, OTA updates, and App Store / Play Store submissions What you’ll need - 5+ years of industry experience in mobile engineering, with production experience on React Native (TypeScript), iOS (Swift/UIKit or SwiftUI) or Android (Kotlin) - A high-ownership mindset: you care about what happens after code merges, from rollout and monitoring to measuring impact and iterating - A keen eye for UX quality and attention to detail in interactions, animations, and visual polish - Experience with mobile navigation patterns, complex state management, and performance optimization on resource-constrained devices - Familiarity with media handling on mobile: video playback, image manipulation, camera, or audio - Experience shipping apps through the App Store and/or Google Play, including familiarity with build tooling, code signing, and OTA update mechanisms - Comfort working with RESTful APIs and integrating third-party SDKs (analytics, auth, payments) - Ability to rapidly prototype solutions and iterate under tight product deadlines - Humility and open-mindedness; at Runway we love to learn from one another Nice to have - Experience building AI-powered or LLM-integrated mobile experiences - Background in in-app purchases (StoreKit / Google Play Billing) 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

Role Description 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. This is a rare PM role with true vertical ownership across the full product lifecycle; from early-stage research and pre-training through to post-training and UX buildout through to GTM strategy and pricing - giving the right person a GM-like mandate to drive product decisions end-to-end in a way that's unique for a company of our scale. We’re looking for a passionate Product Manager to help us develop cutting-edge AI tools. This role is for someone who has a combination of strong technical or ML background and experience in product management. You have the ability to take the state-of-the-art AI systems our research team builds and turn them into impactful tools for our customers. You’ll deeply understand what users want, what’s possible to build, and what’s strategic for our business. You’ll be a bridge between our users and our internal teams so we ship products that have the most value for Runway’s creators. This role is a fundamental and critical part of the team for a market-defining company in its early stages. What you’ll do - Work alongside our research team to define new AI applications that solve customer needs and drive business value - Collaborate closely with engineering and design to productize research and continuously improve existing tools - Define and analyze metrics, talk with users weekly, and conduct A/B tests to discover use cases, validate pain points, and prioritize features Qualifications - 1+ years of direct experience with SQL, python, code generation tools, and version control best practices - 4+ years of product management experience - Familiarity with the current state-of-the-art ML capabilities and ML products - Experience working with fast-moving teams and building products from scratch - Passion for seeing research through from initial conception to ultimate application - Excellent written and verbal communication skills Benefits - 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. - 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. Company Description - 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

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 We are looking to hire a Counsel/Senior Counsel, Litigation to run Runway’s litigation and dispute resolution work on a day-to-day basis, and to partner with the General Counsel on key strategic questions relating to that work. You will also have a chance to pitch in on a variety of other legal domains to support our lean team, bringing to bear direct experience in other areas, and/or a demonstrated ability to pick up new subject areas quickly. As a result, while not required, the ideal candidate will have experience in one or more legal domains beyond litigation. You’ll work at the cutting edge of a highly technical and rapidly evolving area of the law, navigating challenges that are shaping the future of the industry. This role reports directly to the General Counsel. What you’ll do - Manage litigation, third-party process, dispute resolution, and regulatory requests involving the company, spanning everything from helping Runway to develop its strategy on cutting-edge legal questions, to owning all in-house-side discovery execution - Building, improving, documenting, and executing repeatable processes relating to the above areas - Manage outside counsel - Field frequent, day-to-day requests from other legal team members requesting your perspective in their commercial, product, and other legal work based on your litigation expertise and experience - Monitor key regulatory and policy landscape updates relating to generative AI, including advising our AI safety, product, and engineering teams on those developments as appropriate - Develop and execute Runway’s IP enforcement strategy - Dive into the technical aspects of the product and industry to learn it inside and out, to inform your advice to the business - Support the team in a number of other legal domains, potentially including, but not limited to: employment, trust & safety, policy, commercial, privacy, IP, and/or others What you’ll need - A J.D. and admission in good standing with at least one state bar - Strong business acumen - 5+ years of dedicated litigation experience (can include clerkships) - A working knowledge of the key legal issues in Runway’s industry - Excitement about generative AI and motivation to become a leading expert in the legal landscape governing a rapidly innovating industry, and how it should evolve - A strong sense of ownership, whether, on the one hand, working on the highest-level strategic work at the company (think: navigating bleeding-edge legal questions), or, on the other hand, direct execution of work often handled by support staff at larger companies (think: drafting, issuing, and tracking litigation holds, tightly running a document collection process across multiple custodians and systems) - Creative problem-solving, including the capacity to think big and be curious - Bias towards action 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

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 We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A peek at our technical stack Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. What you’ll do - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals What you’ll need - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work 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

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 We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production. What you’ll do - Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond - Develop and test new data strategies, architectural variants, and training techniques - Design evaluations that measure model capabilities, and use them to drive model improvement - Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps - Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward What you’ll need - 4+ years of experience in machine learning research or engineering - Familiarity with the architecture, training, and inference of large-scale multimodal generative models - Experience building robust data pipelines for pretraining and post-training - Comfort working across the full research stack: data, training, evaluation, and deployment - Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale - Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment - Excitement about building AI that simulates the world 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

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 We're looking for an ML infrastructure engineer to bridge the gap between research and production at Runway. You'll work directly with our research teams to productionize cutting-edge generative models—taking checkpoints from training to staging to production, ensuring reliability at scale, and building the infrastructure that enables fast iteration. You'll be embedded within research teams, providing platform support throughout the entire model development lifecycle. Your work will directly impact how quickly we can ship new models and features to millions of users. A peek at our technical stack Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. What you’ll do - Productionize model checkpoints end-to-end: from research completion to internal testing to production deployment to post-release support - Build and optimize inference systems for large-scale generative models running on multi-GPU environments - Design and implement model serving infrastructure specialized for diffusion models and real-time diffusion workflows - Add monitoring and observability for new model releases—track errors, throughput, GPU utilization, and latency - Embed with research teams to gather training data, run preprocessing scripts, and support the model development process - Explore and integrate with GPU inference providers (Modal, E2E, Baseten, etc.) What you’ll need - 4+ years of experience running ML model inference at scale in production environments - Strong experience with PyTorch and multi-GPU inference for large models - Experience with Kubernetes for ML workloads—deploying, scaling, and debugging GPU-based services - Comfortable working across multiple cloud providers and managing GPU driver compatibility - Experience with monitoring and observability for ML systems (errors, throughput, GPU utilization) - Self-starter who can work embedded with research teams and move fast - Strong systems thinking and pragmatic approach to production reliability - Humility and open mindedness; at Runway we love to learn from one another Nice to Have - Experience building custom inference frameworks or serving systems - Deep understanding of distributed training and inference patterns (FSDP, data parallelism, tensor parallelism) - Ability to debug low-level issues: NCCL networking problems, CUDA errors, memory leaks, performance bottlenecks - Experience with diffusion models or video generation systems - Knowledge of real-time or latency-sensitive ML applications 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

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 We're looking for a Data Engineer to build and scale the data infrastructure that powers Runway's AI research and business intelligence. You'll own critical data pipelines spanning production databases, analytics warehouses, and large-scale ML training datasets. This role sits at the intersection of data engineering, ML infrastructure, and analytics—you'll enable both world-class research and data-driven business decisions. You'll work on challenging problems at scale: managing billions of rows of multimodal training data, building CDC streams from production systems, optimizing vector databases for ML workflows, and creating the foundational data layer that the entire company relies on. A peek at our technical stack Our data infrastructure spans multiple specialized systems: LanceDB for vector storage and dataset versioning with multimodal training data, ClickHouse as our analytics warehouse receiving CDC streams from production Postgres via AWS Kinesis, and BigQuery for training run logs and evaluation results. We use Ray for large-scale distributed data processing on managed Kubernetes clusters, handling preprocessing, feature generation, and dataset curation at scale. We're actively building out our data platform—introducing dbt for standardized transformations, improving dataset versioning and data lineage tracking, scaling data sourcing pipelines, and establishing better data quality practices. We use Prometheus and Grafana for monitoring, and Terraform for infrastructure management. This is an opportunity to bring best practices and technical leadership as we mature our data infrastructure to support rapidly growing ML training and research needs. What you’ll do - Build and own pipelines for the creation, curation, and processing of large-scale multimodal datasets, including vector database (LanceDB) management and query optimization for ML metadata - Build and own ETL and CDC streams from Postgres and ClickHouse to analytics warehouses - Build standardized data transformation layers using dbt to replace ad-hoc SQL queries and create maintainable data models for business analytics - Manage production databases (Postgres, ClickHouse) and optimize for performance and reliability What you’ll need - 4+ years of industry experience in data engineering - Strong knowledge of Python - Experience with data quality, deduplication, and cleaning at scale - Comfortable working with cloud storage (S3) and managing large datasets - Experience building and maintaining ETL/CDC pipelines at scale - Strong SQL skills and experience with multiple database systems (Postgres, columnar databases like ClickHouse/Redshift) - Humility and open mindedness; at Runway we love to learn from one another Nice to Have - Experience with one or more frameworks for large-scale data processing (e.g. Spark, Ray, etc) and one or more ML frameworks (e.g. PyTorch, JAX) - Knowledge of cloud platforms (AWS, GCP, or Azure) and their data service offerings - Knowledge of data privacy and data security best practices - Experience with business intelligence and visualization tools (e.g., Looker, Tableau, PowerBI, Metabase, or similar) - Experience in a high-growth startup environment or similar fast-paced setting 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