About this role
Architecting agentic systems and building tools that transform customer business problems into compelling demonstrations drives the daily work for this position. Joining the Demo Engineering team at Celonis in Madrid means co-leading the development of the Next-Gen Demo Factory, where AI agents and LLMs automate the creation of data stories, UI screens, and configurations. This group serves as the creative and technical engine for go-to-market strategies, building prompt-to-demo workflows that help sales teams and solution engineers deliver gold-standard pitches.
Success in this function requires hands-on automation skills and a preference for building scalable generators over manual fixes. The ideal candidate brings a technical baseline in programming and data integration alongside the ability to translate complex technical capabilities into simple business stories for executive audiences. Anyone who enjoys experimenting with fast-moving AI frameworks and driving product-adjacent innovation will thrive within this collaborative environment.
What you will do
- Lead the shift toward prompt-to-demo workflows by building and improving AI agents that automate data stories, UI screens, and configurations.
- Create self-service agentic tools that enable sales reps and solution engineers to generate custom talk-tracks, executive summaries, and pitch decks.
- Own the end-to-end development, release, and ongoing improvement of strategic AI demo tools and assets.
- Identify repetitive manual tasks in the demo lifecycle and build AI-driven tools or orchestrations to reduce manual effort.
- Translate complex data into visionary C-level narratives using generative tools while maintaining a human-centric quality.
What you need
- Possess 1.5 or more years of professional experience in value engineering, applied AI, solution engineering, demo engineering, technical consulting, or a similar product-adjacent role.
- Demonstrate hands-on proficiency in Python, JavaScript, TypeScript, or a comparable programming language.
- Show comfort working with data, integrating AI models and APIs, and debugging built tools.
- Demonstrate the ability to identify high-impact use cases and communicate complex technical capabilities as value-driven business stories for executives.
- Maintain high learning velocity and a readiness to experiment with new models, frameworks, and prompting techniques.
Nice to have
- Experience building cloud-based workflows or applications using Microsoft Azure and Azure Blob Storage.
- Experience with GitHub, version control, deployment workflows, and maintaining web applications used by others.
- Experience with frontend development and UI/UX design for turning complex AI capabilities into intuitive web applications.
- Experience with the Celonis platform and in-product applications.
Benefits
- Restricted Stock Units (RSUs) and merit-based refresh grants
- Parental leave policy including 24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers
- Unlimited PTO in applicable regions and generous global PTO alongside a flexible hybrid work model
- Subsidized Wellhub memberships, mental health counseling, and dedicated wellness weeks
- Paid time off for annual Impact Days to volunteer for community and environmental causes
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
The position operates under a flexible hybrid work model that balances remote focus with vibrant office collaboration in Madrid, Spain.
What kind of equity or stock options are provided?
Every full-time employee receives Restricted Stock Units (RSUs) and merit-based refresh grants as part of company ownership.
What tools and programming languages will I use?
The technical stack includes hands-on proficiency in Python, JavaScript, TypeScript, cloud services like Microsoft Azure, and GitHub for version control.
What is the focus of the Demo Engineering team?
The team acts as the creative and technical engine of the go-to-market strategy, building the Next-Gen Demo Factory powered by AI agents and LLMs.
