QA Engineer

About the role

We're looking for a QA Engineer to help us ensure a high standard of quality and reliability for Runway's AI creation suite. You'll work with our team to thoroughly test new features, and build AI-assisted workflows that turn what you learn into durable automated coverage.

What you’ll do

• Test and help build robust, reliable products powered by the latest, cutting-edge AI video generation models, owning quality for your product areas from development to launch.
• Collaborate with Product, Design, and Engineering to refine requirements, flag risks, and identify edge cases before code is written.
• Write and maintain automated end-to-end tests for our web and mobile apps, and help keep our continuously running test suites healthy.
• Make AI agents a core part of how you test: use them to investigate code, triage bugs, debug tests, and explore the product, and build new agent-powered workflows that expand what the team can cover.
• Compose detailed, thorough test cases while actively maintaining and improving our expanding test case library.
• Partner and collaborate with external third-party testers: scope test coverage, triage reported issues, and set expectations.
• Test beyond the web UI, including our mobile app, public API, and developer-facing surfaces.

What you’ll need

• Experience testing complex, modern web and mobile applications.
• Hands-on experience with automated end-to-end testing: writing tests, debugging failures, and collaborating through git and code review.
• An AI-first way of working: you already use AI tools to move faster and dig deeper, and you're excited to build new workflows with them, not just consume them.
• A strong grasp of QA best practices: risk-based prioritization, test planning, and clear, actionable bug reports under fast release cycles.
• A self-directed, async-friendly communicator who keeps their work visible to the team.
• Strong empathy for users and an understanding of how they interact with creative products.
• A fast learner who is eager to teach others.
• An understanding of the feature functionality and output quality of prominent AI audio, image, and video generation technologies.