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Celonis

Process intelligence platform for end-to-end efficiency

Associate AI Solution Consultant - Orbit Program

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A degree in Engineering, Data Analytics/Science, Computer Science, Mathematics, or a related STEM field is required.
  • Excellent academic performance is required.
  • Extensive internship experience or 1–2 years of full-time work experience, ideally at the intersection of business and technology, is required.
  • Understanding of generative AI techniques such as retrieval-augmented generation, few-shot learning, prompt/context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build use cases such as intelligent chatbots and automated text processors is required.
  • Good knowledge of Python, common machine-learning libraries such as LangChain, pandas, pydantic, scikit-learn, and PyTorch, as well as data-engineering tools and technologies, is required.
  • Excellent analytical and creative problem-solving skills and the ability to apply technology to business challenges are required.
  • A customer-centric mindset focused on delivering value is required.
  • Confidence presenting to diverse audiences is required.
  • A proactive approach to problem-solving and willingness to learn from mistakes are required.
  • Curiosity, self-motivation, commitment to continuous learning, and desire to thrive in a fast-paced, high-growth environment are required.
  • Strong organizational skills and the ability to prioritize and execute on deadlines are required.
  • Excellent English communication skills are required.
  • Foundational business acumen and domain understanding, for example in Supply Chain, are required.

Responsibilities

  • Understand customers’ AI strategies and business-critical challenges, identify problem-solution fit as a Celonis product and domain expert, and translate customer requirements into solutions.
  • Use AI technologies to build creative prototypes in customer hackathons to solve business-critical problems.
  • Support customers in achieving return on investment from AI deployments at scale, enabling a shift from rule-based automation to autonomous AI agents powered by the Celonis Process Intelligence Platform.
  • Execute business-critical Proof-of-Value projects end to end, demonstrate the value of Celonis Process Intelligence for customers, and align solutions with their AI strategies.
  • Specialize in domains or industries, such as supply chain, to scale knowledge across the organization.
  • Articulate and quantify strategic business value and deliver presentations to senior executives to support customer value realization.
  • Stay involved with projects 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, develop industry domain knowledge, deliver presentations and demonstrations, understand value selling and realization, and manage customer accounts.

Desired Qualifications

  • Degrees combining technical skills, such as Computer Science or Data Science, with business skills, such as Economics or Marketing.
  • Customer-facing, customer success/service, or sales experience.
  • Hands-on experience with technical Proof-of-Concept projects.
  • Hands-on experience building agentic systems using large language model orchestration, retrieval-augmented generation, function calling, and prompt engineering.
  • Working knowledge of tools in the large language model ecosystem such as LangChain, LlamaIndex, or other open-source packages.
  • Supply Chain process experience in Procurement, Order Management, Inventory Management, or Production.
  • Experience modeling return on investment and total cost of ownership for business-case justification.
  • Experience with enterprise resource planning systems such as SAP and/or Oracle.

About the Company

Celonis

Process intelligence platform for end-to-end efficiency

Celonis builds a Process Intelligence platform that creates a digital twin of an organization's end-to-end processes by collecting data from multiple systems to map how work actually flows. Users from different departments can see bottlenecks, inefficiencies, and improvement opportunities in a system-agnostic view, enabling cross-functional collaboration. Its business model charges customers for platform usage and aims to help organizations accelerate digital transformation and achieve cost savings. Its goal is to help organizations streamline operations and realize measurable efficiency gains through data-driven process improvements.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.4B
Headquarters
Munich, Germany
Founded
2011

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