We are seeking a Design Technologist whooperatesat the intersection of design, engineering, and emerging AI capabilities. This roleis responsible fortranslating design intent into scalable, system-driven UI while alsoidentifyinghow AI can augment, accelerate, and transform design system workflows.

As aSenior Design Technologist, Design Systems,you are a member of the world-class CNN Digital Product Design Team, whichis responsible forcreating industry-leading new experiences consumed by millions of audiences across the globe.You are both a builder and a systems thinker, someone who not only built andmaintaineddesign systems, but also understands how to apply AI across design and development processes (e.g., token generation,componentscaffolding, content generation, and workflow automation).

TheVossiDesign System teamis responsible forbuilding andmaintainingCNNs multi-platform design system.This is an incredible opportunityto envision and implement a world-class, scalable design system.

TheSeniorDesign Technologistis atalenteddesigner&designengineerwho enjoys collaborating with product, engineering, research, editorial, analytics, contentstrategyand other designers to build and grow reusable librariesthat supports speed and innovation towards a stellar end user experience. In this role, you will have the opportunity toimpactthe entirety of CNNs digital experience, and at the same time impact CNNs bottom line.

Your Role Accountabilities...

• AI Integration in Design Workflows

• Bridge Design, Engineering, and AI

• Help teams understand feasibility, constraints, and ethical considerations of AI-powered features

• Advocate for high-quality UX in AI-assisted or AI-generated interfaces

• Identifyand implement opportunities to integrate AI into design system workflows, such as:

• Generating ormaintainingdesign tokens (color, spacing, typography) programmatically

• Automatingcomponentcreation, documentation, or testing

• Assistingwith layout generation, content population, or variant exploration

• Ensure design system artifacts are consumable by AI models, MCPs or other AI-powered tools

• Collaborate with data/ML teams when needed to integrate intelligent or adaptive UI behaviors

• Design System Engineering

• Build andmaintainscalable, reusable UI components aligned with design tokens and system architecture

• Ensure consistency between design artifacts (e.g., Figma) and production code

• Contribute to system documentation, usage guidelines, and governance models

• Partner with engineering to ensure performant, accessible implementations

• Enable and empower feature teams to collaborate and contribute on design system enhancements

• Tooling & Workflow Innovation

• Develop internal tools, scripts, plugins, or pipelines to improve efficiency across design and engineering

• Optimizedesign-to-code workflows using automation and AI augmentation

• Contribute to experimentation frameworks that enable rapid testing ofnew ideas

• Quality, Accessibility & Responsible AI

• Ensure pixel accuracy, responsiveness, and performance across UI implementations

• Champion accessibility (WCAG) and inclusive design practices

• Advocate for responsible AI usage, including transparency, bias mitigation, and user trust

• Conduct audits of both UI quality and AI-assisted outputs

Qualifications & Experience...

• 6+ yearsin a relevant role suchas adesign technologist, UX/UI engineer, orproduct designer.

• Enterprise,platformsand/or internal tools experience preferred.

• Demonstrated ability to incorporate AI into the design workflow to test ideas more efficiently and communicate solutions with greater speed and clarity

• ExpertproficiencywithFigma124.4+ including variable maintenance, components, styles, and shared libraries

• Experience creating andmaintainingcomponentlibraries

• Strong front-end development skillsin a major framework(HTML, CSS, JavaScript)

• Deep understanding of design systems,componentarchitecture, and design tokens

• ProficiencyusinganIDE(such as Cursoror Claude)

• Solid grounding in interaction design, visual design, and UX principles

• Familiarity with current AI capabilities (e.g., generative AI, LLMs, multimodal systems)

• Understanding of prompt design, structured outputs, or API-based AI integrations

• Ability to evaluate AI outputs for quality, bias, and usability

• Strong verbal and written communication skills and experience collaborating with cross-functional partners such as Engineering, Program management, and Product management