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Celonis

Process intelligence platform for end-to-end efficiency

Associate Applied AI Value Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeMadrid, Spain

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 is required, ideally at the intersection of business and technology.
  • Understanding of generative AI techniques such as retrieval-augmented generation (RAG), 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, and scikit-learn, and data-engineering tools and technologies is required.
  • Excellent analytical and creative problem-solving skills, including 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 readiness to work in a fast-paced, high-growth environment are required.
  • Strong organizational skills and the ability to prioritize and execute against 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; act as a Celonis product and domain expert to identify problem-solution fit and translate customer requirements into solutions.
  • Use AI technologies to build prototypes for customer hackathons that address complex, business-critical problems.
  • Support customers in achieving return on investment from AI deployments at scale by enabling a transition from rule-based automation to autonomous AI agents using the Celonis Process Intelligence Platform.
  • Execute business-critical Proof-of-Value projects end to end, demonstrating the value of Celonis Process Intelligence and aligning solutions with customers’ AI strategies.
  • Specialize in business domains or industries, such as supply chain, to scale knowledge across the organization.
  • Present and quantify strategic business value to senior executives to support customer value realization.
  • Remain involved in AI solution 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 on 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 as part of the Orbit program.

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 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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