AI Product Engineer

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:

Celonis Demo Engineering is the creative and technical engine of our Go-To-Market strategy. We are embarking on a high-stakes mission to build the Next-Gen Demo Factory - a world where AI agents and LLMs handle the heavy lifting of demo creation.

This transformation is critical not only to maintain our lead in Process Intelligence but to ensure Celonis wins the Enterprise AI market. By feeding operational business context to AI, we enable the world’s largest companies to industrialize AI and unlock real ROI. You will **co-lead this transformation within the team, architecting agentic systems and building tools that turn customer business problems into compelling demos for 1,000+ GTM colleagues inside and outside Celonis.

**

The work you’ll do:

• Architect Agentic Demo Builds: Lead the shift toward "Prompt-to-Demo" workflows, from Atlas mockups to in-product demos with Apollo. You will build and continuously improve AI agents to automate the generation of data stories, UI screens, and configurations from simple business requirements.
• Elevate Field Delivery & Enablement: Create "Self-Service" agentic tools that allow Sales Reps and Solution Engineers to "chat" with a demo environment. These agents will generate custom talk-tracks, executive summaries, and personalized pitch decks on demand, ensuring every pitch is "Gold Standard.". Drive adoption through enablement and iterate based on user feedback.
• Master the AI Demo Lifecycle: Own the end-to-end development**, release, and ongoing improvement** of our most strategic AI demo tools and assets. This includes identifying the highest-impact demo opportunities across pre-sales, prioritizing features, building solutions, and leading technical configuration and QA. Work with Product and engineering partners to evolve these tools alongside the Celonis platform.
• Scale Through Automation: Identify repetitive manual tasks in the demo lifecycle—from data cleaning to screen setup—and build AI-driven tools/orchestrations .