Senior AI Design – Engineering Process Lead

Role Responsibilities

• Redesign the design workflow:
  Help define where design fits in a process where PMs create clickable prototypes with AI tools before handoff.
• Establish the new role of design as quality controller, system thinker, and refinement layer.
• Build and maintain the design system:
  Ensure component library, tokens, and patterns are robust enough that AI‑generated prototypes get closer to production quality from the start.
• QA prototype fidelity:
  Review AI‑generated and PM‑built prototypes, translate them into production‑ready Figma files, and establish quality gates for engineering handoff.
• Introduce AI‑native design tooling:
  Bring experience with AI design tools into our workflow, show the team what's possible, and train PMs on how to prompt better prototypes.
• Define standards and templates:
  Create reusable prompt templates, prototype review checklists, and design‑to‑Figma translation workflows that scale across the team.
• Collaborate across Product, Solutions, and Engineering:
  Work closely with PMs building prototypes, engineers shipping code, and stakeholders reviewing the output.
• Review and improve AI‑generated code quality:
  Evaluate the frontend code that AI tools produce from prototypes, identify patterns requiring human refinement, and help engineers establish review standards for AI‑assisted PRs.
• Help define AI‑assisted engineering workflows:
  Bring hands‑on experience with Cursor, Copilot, and Claude/Junie into our engineering process; build prompt templates, testing patterns, and code review standards for AI‑generated code.
• Bridge prototype to production:
  Ensure what gets built matches what was validated, understanding both the Figma file and the React component, and spotting divergences.

• 5+ years of product design experience, with at least 1–2 years actively using AI tools in your design workflow (not just experimenting, but shipping with them).
• Working knowledge of frontend engineering:
  You can read and evaluate React/Type Script code, understand component architecture, and evaluate whether AI‑generated code is production‑ready. You don’t need to be a full‑time engineer, but you need to be capable.
• Hands‑on experience with AI tools across design and code:
  Lovable, v0, Bolt for prototyping;
  Cursor, Copilot, or Claude for code. You’ve used both sides, not just one.
• Strong design systems background:
  You’ve built or maintained a component library at scale.
• Comfort with ambiguity:
  This role is about defining a new process, not following an existing one. You need to be opinionated and adaptable.
• Experience in B2B SaaS or platform products:
  Understanding complex, multi‑stakeholder workflows is important. HR tech, fintech, or compliance‑heavy domains are a plus.
• Excellent communication skills:
  You will work with PMs, engineers, and leadership, and you must articulate design decisions clearly and push back when needed.

Demonstrates expertise in product design with a strong focus on AI tools, design systems, and frontend engineering. Capable of collaborating across teams to establish quality standards and improve design workflows.