Principal Product Designer, Design Systems & AI

About Anaconda **Be at the center of AI** Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Summary Anaconda’s Design organization now owns our design system end to end, from Figma libraries and design tokens through to the code components engineers ship. We’re mid-flight on a migration of our component architecture to a modern stack, converging two product surfaces into one platform, and defining how a design practice works in an agentic AI world.

As our Principal Product Designer, you’ll own the design system as a product: its architecture, its governance, and its evolution across converging surfaces. You’ll partner directly with engineering to land the migration, then build the AI-forward design practice on top of it: the patterns, tooling, and workflows for designing agentic product experiences. This is a senior IC role reporting to the VP of Design, operating with wide autonomy in a deliberately flat, senior team.

What You’ll Do

• 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.

Your Impact Will Be Measured Through

• Completion and adoption of the component architecture migration across both product surfaces.
• Reduction in design-to-engineering handoff time and rework, measured against explicit exit criteria.
• Cross-team adoption of design system governance: versioned releases, contribution model, and shared definition of done.
• AI-forward design patterns shipped in production surfaces and reused across the platform.

What You Need

• 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.

What Will Make You Stand Out

• 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…