Senior AI Design – Engineering Process Lead

Das ist der Job

Establish the new role of design as quality controller, system thinker, and refinement layer.

Darum lohnt es sich

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.

Capable of collaborating across teams to establish quality standards and improve design workflows. #J-18808-Ljbffr Role Responsibilities Redesign the design workflow: Help define where design fits in a process where PMs create clickable prototypes with AI tools before handoff.

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. 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. Requirements 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/TypeScript 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. Core Competencies Demonstrates expertise in product design with a strong focus on AI tools, design systems, and frontend engineering.