Associate Solution Consultant - Orbit Program

Responsibilities

• Understand customers’ AI strategies and business-critical challenges, identify problem-solution fit, and translate requirements into innovative solutions.
• Build and code solutions within the Celonis platform using SQL, PQL, and Python.
• Rapidly prototype solutions using AI technologies during customer hackathons.
• Help customers achieve return on investment from AI deployments at scale by enabling autonomous AI agents with the Celonis Process Intelligence Platform.
• Execute end-to-end Proof-of-Value projects and align solutions with customers’ AI strategies.
• Develop expertise in business domains or industries, such as supply chain.
• Present and quantify strategic business value to senior executives.
• Remain involved through project adoption and value-realization thresholds.
• Create reusable collateral, best practices, and tools for the Value Engineering Center of Excellence.
• Develop skills in discovery, solutioning, requirements scoping, objection handling, domain knowledge, presentations, value selling, and account management.

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 retrieval-augmented generation, few-shot learning, prompt and context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
• Good knowledge of Python and common machine-learning libraries and data-engineering tools.
• 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.
• 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.
• Hands-on technical proof-of-concept experience.
• Experience building agentic systems using LLM orchestration, retrieval-augmented generation, function calling, and prompt engineering.
• Experience with LangChain, LlamaIndex, or other open-source LLM packages.
• Supply chain experience in procurement, order management, inventory management, or production.
• Experience modeling ROI and total cost of ownership.
• Experience with SAP or Oracle.

Compensation and benefits

• Restricted Stock Units and merit-based refresh grants for full-time employees.
• Inclusive parental leave: 24 weeks 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 the 70-20-10 framework, mentorship programs, and dedicated learning resources.