We are the company that stands behind the spectacular success of CKEditor, used by millions of people around the world. At CKSource we produce software components that other developers use to build their applications (WYSIWYG editor, file manager, document converters, etc.). Our flagship product is CKEditor 5 – an open-source, modern JavaScript (soon TypeScript) rich text editor with custom data model and virtual DOM – check our GitHub repository.

We are part of Tiugo Technologies, a launchpad for new developer platforms, helping software companies accelerate growth, increase operating efficiency, and scale their business. Tiugo contains a suite of brands that are API-first, market-leading developer platforms focused on content creation and digital collaboration. Tiugo’s current family of brands includes CKEditor, TinyMCE, ButterCMS, and Uploadcare.

Together our products have powered millions of software applications and websites. Enabling content and communication in everything from Microsoft to NASA, you might not know our name, but you’ve probably used our software.

Your New Role:

As part of a portfolio of best-in-class developer tools, we are looking for a person who will join our QA team to help us to keep the quality of our products at the highest level. The perfect candidate would have a mix of soft and technical skills and be open-minded, patient, and creative.

As a QA team member, you will be responsible for the quality of products with a primary focus on the AI project. You don’t need to be an AI expert; we value curiosity, critical thinking, and the ability to question AI outputs over deep ML knowledge.

You’ll have strong support from experienced QA Engineers who will introduce you to projects and help you during your onboarding. We know how important the first days in a new job are, so we will make sure that you will have time to learn about our products and how we work 🙂

Key Responsibilities:

• testing an AI-powered product across front-end and back-end areas;

• performing manual, exploratory, and regression testing, with a focus on real user scenarios and edge cases;

• testing AI-driven features, including prompt-based flows, generated content, and non-deterministic behavior;

• validating AI outputs for correctness, consistency, edge cases, and failure scenarios;

• collaborating closely with front-end and back-end engineers on quality, risks, and requirements;

• gradually contributing to test automation using JavaScript, with tools like Cypress and Playwright;

• reporting and verifying issues with clear context and impact.