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описание
Iterable is an AI customer engagement platform for enterprise organizations. It enables brands to activate customer data, design cross-channel experiences, and optimize engagement with its AI platform layer.
задачи
Lead the evolution of Aurora across foundations, components, patterns, and product-specific assemblies
Define component contracts and structured specifications for anatomy, properties, variants, states, slots, composition, accessibility, and intended use
Make design intent machine-readable across Figma, code, documentation, prototypes, and AI coding agents, including behaviors Figma cannot express alone
Partner with engineers to connect Figma, tokens, React, Storybook, prototypes, and documentation through deterministic workflows that minimize drift
Strengthen Aurora’s token architecture, themes, aliases, states, and core foundations
Establish audits and quality gates for hardcoded values, invalid combinations, missing states, accessibility gaps, and system divergence
Version and communicate system changes through change logs, release notes, impact reports, and architectural decision records
Explore responsible AI/LLM use of Aurora and build prototypes, tools, and guidance to help teams apply the system consistently
Audit product surfaces, improve high-impact inconsistencies, and mentor designers and engineers in systems thinking and AI-ready workflows
Help product designers apply Aurora and contribute to the system
Work with frontend and platform engineers building and maintaining component libraries, token infrastructure, and quality tooling
Work with product managers and product teams navigating complex workflows and system-level trade-offs
Work with documentation, developer experience, and AI enablement partners to make design intent easier to discover and use
Set a high bar, create clarity, influence across teams, and contribute directly to the work
требования
At least 6 years of product design experience, including building or evolving design systems at scale
A portfolio demonstrating strong craft, interaction quality, accessibility, and systems thinking
Deep Figma expertise, including variables and modes, properties, variants, slots, branching, libraries, and scalable organization
Comfortable working with schemas, contracts, taxonomies, dependencies, validation, versioning, and change management
Strong engineering partnership across implementation, testing, accessibility, APIs, and release quality
Familiarity with Storybook, Figma Code Connect, token pipelines, and documentation or design-system management tools
Ability to write precise documentation for people and machines, with a practical understanding of how AI coding agents consume context and where they drift
Strong accessibility knowledge, asynchronous communication, organizational skills, and a pragmatic, hands-on multiplier mindset
The role does not involve direct people management or ML engineering; model training is not required
Будет плюсом: experience with B2B SaaS and complex, data-rich workflows; ability to use HTML, CSS, and React for prototyping, communication, or quality refinements; experience with design tokens, transformation, linting, CI checks, and design-to-code pipelines; experience with APIs, GitHub workflows, command-line tools, or automation for design-system operations; experience with AI/LLM instructions, agent skills, retrieval-friendly documentation, generated-UI evaluation, advanced prototyping, or cross-platform systems