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Celonis · Engineering

Sr. Frontend Engineer - Process Modeling Team

Where
Madrid, Spain
Experience
5+ yrsstated in the description
Pay
Not stated
Posted
Already listed when Unlisted started watching this board (6 Oct 2026)
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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. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team

Prisma is a newly formed team building the Modeling Library that powers Celonis' Process Modeling Experiences. This library is the foundation for how users create, edit, and visualize process models across the platform. The team works closely with Product, UX, and other engineering teams to turn complex modeling and graph problems into fast, intuitive interactions for our customers.

The Role

As a Senior Software Engineer on Prisma, you'll help build and grow the Modeling library from the ground up. You'll work on the graph rendering, layout, and interaction logic that lets users model business processes clearly and efficiently, even with large and complex data sets.

We're looking for engineers who already use AI coding tools daily and know how to apply them to solve real engineering problems fast, not as a novelty, but as part of how they build production-quality software.

The work you'll do

Qualifications you need

Nice to have

What Celonis can offer you:

About Us:

Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

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Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

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We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations.

The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it.

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