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Celonis

Process intelligence platform for end-to-end efficiency

Lead Applied Value Engineer

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 8 years of experience in pre-sales, customer success, and/or consulting, with a background in pre/post-sales consulting, strategy consulting, business process improvement, digital transformations, or customer value realization.
  • Strong technical skills across Microsoft or equivalent technologies, including relevant certifications such as Azure or data engineering; knowledge of data connections, data objects, data validation, and data analysis; knowledge and use of large language models such as Claude or Copilot; and understanding of basic prompting and data constructs within a prompt.
  • Expertise in value-driven selling, identifying and prioritizing use cases, implementing improvement measures, establishing a customer operating model, and training users to realize value and renew or expand their subscription.
  • Ability to plan and manage project scope, expectations, and timelines, and manage multiple projects across aligned accounts at different stages of the value journey.
  • Strong presentation skills for internal and external stakeholders, including leading technical whiteboarding sessions, formal readouts, and demonstrations.
  • A Bachelor's degree focused in computer science, engineering, mathematics, or a related field is required, or equivalent work experience.

Responsibilities

  • Drive the full customer lifecycle, including technical discovery and capability demonstrations during pre-sales expansion cycles and post-sale implementation guidance to achieve agreed value and adoption thresholds.
  • Drive enterprise-wide return on investment and adoption programs; improve customer cadences and executive sponsorship through quarterly business reviews, strategic roadmaps, and enterprise-wide value opportunities; enable cross-functional alignment; and establish repeatable frameworks for customers to track, realize, and expand business value independently.
  • Serve as the internal and external technical subject matter expert for the customer’s industry domain and scale knowledge across the organization.
  • Understand customers’ AI strategies and challenges, identify the best product-problem fit, and translate customer requirements into innovative solutions with measurable impact.
  • Analyze customer data and deploy tactical solutions using the Celonis Process Intelligence platform to provide operational context to AI and large language model tools.
  • Manage weekly cadences, quarterly business reviews, and value plans to demonstrate solution value to VP-level and more senior executives.
  • Spend the majority of working time in the field meeting with clients.

Desired Qualifications

  • Understanding of business processes across sectors, such as supply chain or finance, and ability to translate high-level business needs into specific AI use cases.
  • Good knowledge of Python, common machine learning libraries such as LangChain, pandas, scikit-learn, and PyTorch, and data engineering tools and technologies.
  • Hands-on experience building agentic systems using large language model orchestration, retrieval-augmented generation, function calling, and prompt engineering, with safety addressed through rigorous evaluations and guardrails.

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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