CE
Working Student Applied AI Brand Solutions
CelonisMunich, GermanyPosted 14 May 2026
Job Description
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
The Team:
The Brand Research Strategy team believes brand leadership is a powerful competitive advantage. We drive business performance through research, insights, analytics, intelligence, brand management, and strategy. We act as a strategic hub, collaborating closely with experts across Customer Experience (CX), Digital Experience (DX), Employee Experience (EX), and Go-to-Market (GTM) teams. Our goal is to lead with brand by turning data into human insight - creating the truths that drive presence, build affinity, and anchor trust.
The Role:
This role supports the prototyping of applied AI pilot projects within Celonis Brand Team. These pilots are part of a wider strategy focused on three core outcomes:
Governance: ensuring AI operates within brand and legal guardrails
Enablement: increasing creative and GTM speed while maintaining quality
Visibility: ensuring Celonis appears accurately and consistently in AI-mediated environments such as generative search and AI assistants
Taken together, this strategy positions Brand not only as a control function, but as an AI enablement layer for GTM - helping teams move faster while protecting consistency, trust, and compliance.
As a Working Student, you will help prototype the technical foundations of these AI systems. This includes conversational AI workflows, knowledge retrieval, data collection pipelines, and web integrations. You will work with brand, design, marketing, , research, and engineering stakeholders to experiment with AI-driven knowledge systems and agent-based tools for marketing.
The work you’ll do:
Support the development of AI avatars
Experiment with retrieval-augmented generation (RAG) using proprietary knowledge
Assist with the integration of voice and avatar platforms
Support web embedding and API integrations
Help build data pipelines for the Brand Intelligence Dashboard
Test AI outputs and improve prompts, retrieval quality, and workflow design
Contribute to documentation and collaboration with research partners
Enabling brand operations and infrastructure, for AI applications.
The qualifications you need:
Enrolled student in Computer Science, Artificial Intelligence, Data Science, HCI, or a related field
Strong interest in LLMs, conversational AI, and applied AI workflows, RAG or vector databases
Experience with Python or JavaScript
Comfort working with APIs and AI tools
Strong curiosity, initiative, and problem-solving mindset
Munich based and able to work on-site at our headquarters
Ready to support the team for 16–20 hours per week
What Celonis can offer you:
Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship pr ... (truncated, view full listing at source)
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