CKEditor

• Define and execute test strategies, determining what to automate, what to test manually, and appropriate test coverage levels across projects and products • Design, develop, and maintain automated test frameworks and suites for UI (e.g., Playwright & Selenium) and API (e.g., Postman) testing • Integrate automated tests into CI/CD pipelines (e.g., GitHub Actions & Jenkins) to ensure tests run on every build and deployment • Conduct performance, load, and reliability testing (e.g., k6, JMeter) to ensure systems handle real-world usage at scale • Work closely with developers and product teams to advocate for better design, testability, and shifting quality left in the development lifecycle • Use AI-assisted tools to support test generation, exploratory testing, defect triage, and root cause analysis • Evaluate where AI can improve QA workflows while ensuring outputs are validated, maintainable, and secure • Identify, log, and track defects; assist with reproduction and debugging to accelerate resolution • Continuously improve test coverage, reduce flaky tests, and optimise test execution speed • Review and contribute to technical documentation, test plans, and quality metrics reporting • Perform ad hoc QA activities such as testing hotfixes, planning test coverage, executing test plans, and assisting with patch releases • Evaluate and recommend new testing tools, technologies, and AI-enabled practices to elevate team quality standards

• Help shape the product vision and roadmap for our features. • Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. • Keep the team focused on what matters most right now. • Collaborate with engineering teams to translate business needs into technical requirements. • Manage the product lifecycle from conception through release. • Define and track product requirements, and ensure delivery of high-quality and scalable solutions. • Coordinate with sales, marketing, and support teams to maximize product success.

• Help shape the product vision and roadmap for our features. • Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. • Keep the team focused on what matters most right now. • Collaborate with engineering teams to translate business needs into technical requirements. • Manage the product lifecycle from conception through release. • Define and track product requirements, and ensure delivery of high-quality and scalable solutions. • Coordinate with sales, marketing, and support teams to maximize product success.

• Help shape the product vision and roadmap for our features. • Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. • Keep the team focused on what matters most right now. • Collaborate with engineering teams to translate business needs into technical requirements. • Manage the product lifecycle from conception through release. • Define and track product requirements, and ensure delivery of high-quality and scalable solutions. • Coordinate with sales, marketing, and support teams to maximize product success.

• Solve high-impact problems across product and internal systems, identifying where AI or automation can create real value. • Work closely with engineering, product, and business stakeholders to understand problems, clarify goals, and define the right approach. • Design pragmatic, end-to-end solutions from architecture and technical plans to production-ready systems. • Build systems involving LLMs, integrations, and multi-step or agentic workflows. • Write production-quality code, build prototypes, and evolve them into robust, scalable solutions. • Influence technical direction across teams, define best practices, and help others adopt AI effectively.

• Owning end-to-end testing of complex back-end and cloud services running on AWS, Docker, and (where needed) VM setups • Designing, writing, and adapting automation scripts for API and environment testing across both SaaS and on-premises deployments • Validating integrations between CKEditor Cloud Services and depending components like CKEditor 5, Customer Portal • Running performance, stress, and regression testing on CKEditor ecosystem services • Partnering with developers to reproduce, triage, and resolve customers' technical and integration issues • Proactively identifying quality risks in the system and proposing improvements to test coverage, tooling, and CI reliability

• supporting the sales team in pre-sales calls by providing technical expertise, answering prospect questions, and addressing technical concerns • preparing and delivering tailored product demos based on customer requirements and specific use cases • conducting technical support calls and providing L1 technical support to customers • running customer onboarding sessions to ensure smooth adoption of our products • preparing technical documentation, integration guides, and product briefs for the sales team • building and maintaining relationships with customers, proactively engaging to ensure their success • collecting customer feedback and translating it into actionable insights for the product and GTM teams • creating and maintaining a knowledge base – playbooks, ready-made solutions, FAQs, and best practices • writing workarounds, simpler implementations, and integration examples for customers • continuously deepening your technical knowledge of our products and the broader ecosystem

• Solve high-impact problems across CKEditor and CKSource products, spotting where AI or automation can add value. • Work with product and engineering stakeholders to clarify goals, scope, and success metrics. • Design pragmatic end-to-end solutions across the editor, backend services, and other portfolio products. • Prototype quickly, iterate with feedback, and evolve the best ideas into production features. • Build integrations and platform patterns (APIs, workflows, ecosystems) that extend product capabilities. • Influence technical direction and best practices across teams, helping others adopt new tools effectively. • Drive adoption of AI-assisted development (agents, reviews, testing, ops) to improve how we build and ship software.

• Solve high-impact problems across product and internal systems, identifying where AI or automation can create real value. • Work closely with engineering, product, and business stakeholders to understand problems, clarify goals, and define the right approach. • Design pragmatic, end-to-end solutions from architecture and technical plans to production-ready systems. • Build systems involving LLMs, integrations, and multi-step or agentic workflows. • Make sound engineering decisions across model choice, orchestration, evaluation, latency, cost, reliability, security, and maintainability. • Write production-quality code, build prototypes, and evolve them into robust, scalable solutions. • Influence technical direction across teams, define best practices, and help others adopt AI effectively.

• Design, build, and maintain backend services for CKEditor 5 - including REST APIs, real-time streaming, event-driven processing, and data persistence. • Build and maintain a multi-service architecture with message queues, caching, and async communication patterns. • Engage in code reviews, pair programming, and cross-functional collaboration to ensure the highest quality results. • Write clean, maintainable, and well-structured code, balancing readability with appropriate documentation. • Share best practices on programming standards, tools, and processes to foster continuous improvement.