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CelonisCelonis

Associate Solution Consultant - Orbit Program

Builds and prototypes AI-powered Celonis solutions for strategic EMEA customers, translating business challenges into measurable value and supporting proof-of-value projects through adoption. The 12-month Orbit program targets STEM graduates or candidates with internships or 1–2 years of experience who are fluent in German and English.

About the job

Responsibilities

  • Understand customers’ AI strategies and business-critical challenges; translate requirements into innovative Celonis solutions.
  • Prototype solutions using AI technologies during customer hackathons.
  • Enable agentic process transformation and help customers achieve ROI from AI deployments at scale.
  • Execute business-critical Proof-of-Value projects end to end.
  • Specialize in business domains or industries, such as supply chain.
  • Present and quantify strategic business value to senior executives.
  • Stay involved through project adoption and value-realization thresholds.
  • 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 demos, and manage customer accounts.

Requirements

  • Degree in Engineering, Data Analytics or 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/context engineering, multi-agent orchestration, multimodal understanding, and fine-tuning.
  • Knowledge of Python, common machine-learning libraries, and data-engineering tools and technologies.
  • Excellent analytical, creative problem-solving, presentation, organizational, and communication skills.
  • Customer-centric mindset, proactive approach, curiosity, self-motivation, and commitment to continuous learning.
  • Fluency in German and English.
  • Foundational business acumen and domain understanding, such as supply chain.

Nice to Have

  • Combined technical and business education.
  • Customer-facing, customer-success, service, or sales experience.
  • Hands-on technical proof-of-concept experience.
  • 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 experience in procurement, order management, inventory management, or production.
  • Experience modeling ROI and TCO for business cases.
  • 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 and development through a 70-20-10 framework, mentorship programs, and dedicated learning resources.

Skills

Python, SQL, Pql, LangChain, pandas, Pydantic, scikit-learn, PyTorch, RAG, Prompt Engineering, Multi-Agent Orchestration, Function Calling, Celonis, SAP, Oracle

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