Generative video and world-model AI research and product company
Runway builds generative video tools and world models, running a research-grade ML stack (PyTorch, JAX, Ray, CUDA, Flyte, Kueue) on Kubernetes and AWS. Hiring tilts toward sales, marketing and support alongside research and engineering, and pain points around closing complex deals and monetization suggest a push to commercialize models with enterprise buyers. Interest in synthetic data pipelines and world-model benchmarks shows research investment remains central.
Notable leadership hires: Workplace Lead
Runway is a New York-based, privately held AI company founded in 2018 with 51–200 employees. It develops generative AI for video creation, editing and post-production, and is extending that work toward world models capable of general-purpose simulation. Its products serve creative and media users and are also offered through an API platform. The company hires in the United States and Japan across sales, engineering, marketing, support, research and product.
Runway's stack includes PyTorch, JAX, TensorFlow, Ray, CUDA and C++ for ML, plus Kubernetes, Terraform, AWS (ECS, Fargate, Lambda, Kinesis, SQS), PostgreSQL, TypeScript, Prometheus and Grafana.
Runway is prototyping user experiences for AI video and world models, building synthetic data generation pipelines, designing agentic real-time tools, and developing evaluation benchmarks for world models.
Runway hires in the United States and Japan, with openings spanning sales, engineering, marketing, support, research and product, skewed toward senior-level roles.
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Runway's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.