Quality Assurance Engineer, Speak

• 5+ years of QA experience in user-facing mobile apps (iOS and Android required)
• Hands-on tester first: you manually test the app, find real bugs, and document them with precision and full context
• Strong risk analysis instincts: you know what to test deeply, what to deprioritize, and how to make the call under time pressure
• High ownership mindset: you define what good coverage looks like and build toward it without being told
• Experience writing structured test plans and test cases from product specs
• Experienced using AI tools in your QA workflow: test case generation, automated execution, or agentic testing frameworks, and actively look for ways to apply them to reduce manual effort
• Comfortable reading and understanding test scripts; you don’t need to write them from scratch but you can use AI tools to write and improve them without relying on Engineering
• Comfortable in a fast-paced environment where priorities shift and release windows are tight
• Able to work from SF HQ at least 3 days/week

Desirable

• 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
• 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
• 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
• 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
• 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