Associate Applied Value Engineer - Orbit Program

Responsibilities

• Understand customers’ AI strategies and business-critical challenges, identify problem-solution fit, and translate requirements into innovative Celonis solutions.
• Rapidly build creative AI prototypes during customer hackathons.
• Support customers in achieving measurable ROI from AI deployments at scale, including autonomous AI agents powered by the Celonis Process Intelligence Platform.
• Execute business-critical Proof-of-Value projects end to end and align solutions with customers’ AI strategies.
• Develop expertise in selected business domains or industries, such as supply chain.
• Present and quantify strategic business value to senior executives.
• Remain involved through project completion until agreed value and adoption thresholds are reached.
• Create reusable collateral, best practices, and tools for the Global Value Engineering Center of Excellence.
• Build and code within the Celonis platform using SQL, PQL, and Python.
• Scope business and technical requirements, handle objections, deliver presentations and demos, understand value selling and realization, and manage customer accounts.

Requirements

• Degree in Engineering, Data Analytics, Data Science, Computer Science, Mathematics, or a related STEM field.
• Excellent academic performance.
• Extensive internship experience or 1–2 years of full-time work experience, ideally at the intersection of business and technology.
• Understanding of generative AI techniques including RAG, few-shot learning, prompt and context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
• Good knowledge of Python, common machine-learning libraries, and data-engineering tools and technologies.
• Excellent analytical and creative problem-solving skills.
• Customer-centric mindset and confidence presenting to diverse audiences.
• Proactive, curious, self-motivated, and committed to continuous learning.
• Strong organizational and communication skills.
• Fluency in German and English; Italian is a strong plus.
• Foundational business acumen and domain understanding, such as supply chain.

Nice-to-haves

• Combined technical and business education.
• Customer-facing, customer success, service, or sales experience.
• Experience with technical Proof-of-Concept projects.
• Experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering.
• Experience with LangChain, LlamaIndex, or other open-source LLM ecosystem packages.
• Supply chain process experience, including procurement, order management, inventory management, or production.
• Experience modeling ROI and TCO for business-case justification.
• Experience with SAP or Oracle ERP systems.

Compensation and benefits

• Restricted Stock Units and merit-based refresh grants for full-time employees.
• 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers.
• Unlimited PTO in applicable regions and generous PTO globally.
• Flexible hybrid work model.
• Learning framework, mentorship programs, and dedicated development opportunities.