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Celonis

Process intelligence platform for end-to-end efficiency

Applied AI Value Engineer - Technology Consultant

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of experience in pre-sales, customer success, and/or consulting functions, with a background in pre-/post-sales consulting, strategy consulting, business process improvement, digital transformations, or customer value realization.
  • Strong technical skills across Microsoft technologies or equivalent competitor technologies, such as AWS, with certification in relevant technologies such as Azure or data engineering.
  • Knowledge of data connections, data objects, data validation, and data analysis.
  • Knowledge and use of large language models across Microsoft or equivalent competitor tools such as Claude or Copilot, including understanding of basic prompting and data constructs within a prompt.
  • Expertise in identifying and prioritizing use cases, implementing improvement measures, establishing a customer operating model, training users, and helping customers realize value and renew or expand their subscription.
  • Ability to plan and manage project scope, expectations, timelines, and multiple projects across aligned accounts at different stages of the value journey, leveraging ecosystem partners where possible.
  • Strong presentation skills for internal and external stakeholders, including technical whiteboarding sessions, formal readouts, and demonstrations.
  • A bachelor's degree is required; equivalent work experience is accepted. Computer science, engineering, mathematics, or related fields are preferred areas of focus.

Responsibilities

  • Drive the full customer lifecycle through pre- and post-sales execution.
  • Lead technical discovery and capability demonstrations during pre-sales expansion cycles and remain involved post-sale to guide implementation and ensure agreed value and adoption thresholds are met.
  • Drive enterprise-wide return on investment and adoption programs.
  • Accelerate customer autonomy through improved cadences, executive sponsorship, quarterly business reviews, strategic roadmaps, and enterprise-wide value opportunities.
  • Enable cross-functional alignment and establish repeatable frameworks that allow customers to independently track, realize, and expand business value.
  • Serve as an internal and external technical subject matter expert for the customer industry domain and scale knowledge across the organization.
  • Understand customers’ AI strategies and challenges, identify the best problem-solution fit as a product expert, and translate customer requirements into innovative solutions with measurable impact.
  • Work with strategic clients to understand objectives, analyze customer data, deploy tactical solutions, and support adoption and measurable business value using Celonis.
  • Manage weekly cadences, quarterly business reviews, and value plans to demonstrate solution value to executives at VP level and above.

Desired Qualifications

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