The opportunity
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity.
What you'll do
Design and build internal tools and automations with strong UX, so the design: org's own tooling is genuinely usable, not just functional, using TypeScript/JavaScript, Python, APIs, and the Figma plugin/REST APIs.
Engineer the agent pipeline: stand up and maintain the MCP servers, context pipelines, and integrations that connect the design system to AI coding agents (Cursor, Claude Code, v0, Copilot).
Automate governance-as-code: build CI checks, release automation, and policy enforcement so standards are guardrails in the pipeline rather than docs nobody reads.
Own and govern the AI tool stack: evaluate, integrate, license, and roll out tools, and partner with security and legal on data/IP review and human-in-the-loop checkpoints.
Instrument and report on impact: build telemetry and dashboards for design-system and AI-tool adoption, cycle time, and quality that leadership actually uses.
Collaborate with designers, PMs, and engineers to derive and evolve the: design system and the workflows around it.
What they're looking for
- Build prompt and template infrastructure, reusable prompts, specs, and: starter kits, so AI-assisted quality is consistent across the org.
- Set tooling and operations standards, lead platform initiatives, and mentor: designers and engineers across the practice.
- Around 5–8 years across design engineering, front-end, design-systems: tooling, or platform/internal-tools engineering, with genuine design/UX sensibility, not engineering-only.
- Good UX instincts: you can design a usable tool and translate ambiguous needs into thoughtful solutions, with a foundation in HTML/CSS and front-end craft.
