About the role
This role is located in Budapest, Hungary - We are a hybrid work environment and are in the office 3+ days/per week. Tulip , the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category. A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.” About you You are a senior QA engineer who operates at the intersection of deep product expertise and scalable automation engineering. You bring a systems mindset to quality - not just finding bugs, but designing the frameworks and feedback loops that prevent them at scale. You’re energized by ownership: leading cross-functional quality initiatives, mentoring teammates, and making deliberate technical choices that raise the bar across the engineering organization. You embrace AI-powered tooling not as a buzzword, but as a practical lever for accelerating coverage and reducing toil. What skills do I need? Must-haves 4–7 years of QA experience with a balanced blend of manual testing and automation. Hands-on expertise with Cypress and TypeScript/JavaScript automation frameworks. Solid experience with API testing tools (e.g., Postman) and ideally automating API tests. Strong exploratory/manual testing skills for complex SaaS products. Experience integrating automated tests into CI/CD pipelines. Proven, hands-on experience using AI-powered tools (e.g., Mabl, Momentic, Rainforest QA, or LLM-based assistants such as Claude) to improve testing quality, efficiency, or coverage. Demonstrated experience leading quality initiatives both formally (e.g., owning a framework migration, rollout, or cross-team testing strategy) and informally (e.g., driving alignment between QA and engineering without direct authority). Nice-to-haves Experience designing or implementing performance/load testing strategies. Exposure to other automation frameworks (Playwright, Selenium) or languages (Python). Interest in IoT technologies or embedded systems. Experience applying AI beyond test generation — e.g., intelligent failure triage, anomaly detection, or AI-assisted code review for test suites. Key
