Principal Product Designer, Design Systems & AI
About Anaconda
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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