Principal Product Designer, Design Systems & AI

Anaconda advances AI with open source at scale through its AI Platform for Python, data science, and enterprise AI. The Principal Product Designer will own the design system as a product, lead its component architecture migration, establish governance, and develop AI-forward patterns and workflows for agentic product experiences. The role partners closely with engineering and influences a senior design team through critique, pairing, and technical craft.

Responsibilities:

• Own the design system end to end: design tokens, component libraries, documentation, and the code components engineers consume, across two converging product surfaces
• Lead the migration of our component architecture to a modern stack (shadcn/ui, Storybook), partnering with engineering to re-baseline scope and ship a complete, production-quality tranche
• Define the governance that outlives any individual: versioning, contribution model, release process, and explicit exit criteria for design handoff that both design and engineering sign
• Establish Anaconda's AI-forward design practice: patterns, guidelines, and tooling for agentic product surfaces, and ship the first product experiences that use them
• Work in design and code: prototype in the production stack and review component implementations
• Raise the bar across a senior design team through influence: critique, pairing, and visible craft
• Use AI-assisted tools, including Claude Code, reviewing and validating AI generated output before it ships

Requirements:

• 12+ years of product design experience, including several years owning a design system at scale, tokens, component architecture, and governance, not only consumption
• Engineering fluency: comfortable working in TypeScript/React component codebases and Storybook, and applied in technical architecture discussions
• Proven experience leading a design system migration or re-platform in a production environment, including scoping what ships and what parks
• Demonstrated experience designing AI-driven or agentic product experiences
• Experience using AI assisted tools, such as Claude Code, as part of a professional workflow, including reviewing and validating AI generated output before it ships
• A track record of leading through influence in flat or ambiguous structures, defining the operating model rather than executing within one
• You've taken a design system through a framework migration at enterprise scale and can walk us through what you kept, cut, and parked — and why
• Contributions to open-source design systems or component libraries, with public work you can show
• Experience designing for developer tools, data science, or technical audiences
• You've built design tooling or automation — internal tools, Figma plugins, or AI-assisted design workflows — that other designers adopted
• Experience working across converging or multi-product platforms where the design system was the connective tissue
• A clear point of view on how AI is reshaping design practice, shaped by hands-on work designing agentic experiences