CE

Working Student Applied AI Brand Solutions

Celonis
Munich, 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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