QA Engineer

## About the company Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ## About this role We're looking for a senior, highly autonomous QA Engineer to join our Quality Assurance team at Speak. You'll own QA coverage for assigned feature team end-to-end: test planning, execution, and release sign-off. Beyond hands-on testing, this is a high-ownership IC role for someone who actively looks for smarter ways to scale coverage through tooling, automation, and AI-powered workflows, not just manual effort. ## What you'll be doing - Test planning and execution - Own QA coverage for 1~2 pods: analyze requirements, write test plans and test cases, execute across iOS, Android, webapp, and backend. - Conduct functional, regression, and design testing. Document and track defects in Qase and Linear - Participate in pod weeklies and collaborate with PMs and Engineers to clarify requirements and catch issues before they reach QA - Risk analysis and release readiness - Assess risk across features and releases: identify what needs the most coverage, what can be deferred, and what's a blocker - Own release candidate sign-off for your pods, with a clear point of view on what's ready to ship and what isn't - Surface patterns in defects and coverage gaps to improve how the team plans and prioritizes QA work - Scale QA intelligently - Identify what's automatable vs. what requires human judgment and act on that distinction - Document execution-ready test cases with clear steps for any outsourced or automated testing scope - Contribute to evaluating and adopting agentic testing tools and AI-powered workflows that reduce manual effort over time - Drive quality culture - Partner with Product, Engineer, and QA on process improvements, coverage gaps, and release readiness - Contribute to QA documentation, standards, and best practices across pods - Bring a continuous improvement mindset: if something is slow or manual and doesn't need to be, fix it ## What are we looking for? - 5+ years of QA experience