Principal Product Engineer
Job details
We are the company behind CKEditor – an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration.
Your role:
As a Principal Product Engineer, you will work at the intersection of engineering, product discovery, and product delivery. Your main focus will be on CKEditor, starting with the editor and frontend experience, and extending to supporting backend services and AI where relevant. You will also contribute to other CKSource products, with a stronger emphasis on frontend components and shared building blocks.
Your primary mission is to identify high-leverage opportunities, rapidly prototype solutions, and evolve the best experiments into production-ready capabilities.
You will collaborate closely with engineering leaders, product managers, and domain experts to shape product direction. You will also work with teams across the editor/frontend, cloud services, and integrations to ship end-to-end features.
This role requires a builder mindset and comfort operating in ambiguity. It is a high-autonomy individual contributor position where you influence product direction across CKEditor and CKSource. You will also help teams adopt AI-assisted development in their daily workflows.
Key responsibilities:
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.
