Keboola

Product Designer

• Redefine the Keboola experience. Lead the design vision across the entire platform, ensuring that using Keboola feels powerful, seamless, and human - even when solving the most complex data problems.
• Make AI part of design DNA. Use AI tools and workflows to accelerate design, research, and prototyping. At the same time, design for a world where AI is embedded into the product itself, shaping how customers discover, manage, and use their data.
• Own design frameworks that scale. Establish design systems, interaction models, and CX frameworks that don’t just support the product, but differentiate it in the market.
• Lead by doing. Roll up your sleeves and design alongside your team. This is a hands-on role where strategy and execution go hand in hand.
• Develop a high-impact team. Mentor and grow a small, talented design team - setting the bar on craft, collaboration, and measurable outcomes.
• Be a core partner in product leadership. Work directly with Product, Engineering, and Go-to-Market to ensure design is embedded in every decision and every launch.

Head of Product Design

Frontend Engineer

• Keboola is a hybrid, multi-cloud data platform that reduces data complexity and enables companies to automate business actions using data.
• Work within a small team maintaining and improving several UI applications (React): speed, usability, and experience.
• Collaborate closely with backend engineers to design APIs consumed by UIs and provide feedback on service design.
• Cooperate with the design team to implement UI/UX improvements and adopt the Design System/Component Library.
• Contribute to architecture and implementation of new and existing services; participate in design docs.
• Undertake code reviews and share knowledge across teams.
• Maintain "hosting" for UI applications—the CDN.
• Ideal candidate based in Prague and able to work hybrid (2-3 times a week in the office).

Software Engineer - Frontend

QA Engineer

• Keboola is a versatile data operating system enabling companies to automate business actions using data and produce value.
• Design, implement, and scale automated E2E, UI, and API test suites focusing on frontend and end-to-end automation.
• Integrate automated tests into CI/CD pipelines for rapid feedback and maintain high automation coverage for regression and critical paths.
• Use AI-powered tools to generate/maintain test cases, analyze logs, assist root cause analysis, and auto-heal failing tests.
• Establish metrics and dashboards for quality tracking and collaborate with developers, product managers, and DevOps.
• Own QA strategy from planning to execution to reporting.
• Continuously explore new AI and automation technologies to improve efficiency.