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Celonis

Process intelligence platform for end-to-end efficiency

Lead Deployment Engineer

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

About the Job

Requirements

  • At least 10 years of project leadership experience in management or IT consulting, data or solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators; Senior Deployment Engineer level requires at least 6 years.
  • Advanced SQL skills and the ability to build and configure solutions on the Celonis platform, including data modeling, process analysis, KPI definition, and automation.
  • Comfort working with AI-assisted development tools such as Claude Code, Codex, and Cursor; ability to write clear specifications, evaluate AI-generated outputs, and iterate effectively.
  • Strong understanding or deep expertise, depending on seniority, in enterprise business processes and financial metrics.
  • Ability to lead customer workshops, present findings to management, manage stakeholder expectations, and deliver outcomes amid adversity and ambiguity; comfort communicating with technical and business audiences.
  • Ability to translate business requirements into technical solutions and quantify business impact.
  • Willingness to continuously develop expertise through experimentation and comfort with ambiguity and evolving tools.
  • Bachelor’s or master’s degree in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or a comparable field.
  • Fluency in English.
  • Willingness to travel to customer locations up to 50%, according to customer requirements and project delivery phases.

Responsibilities

  • Conduct business discovery workshops to translate customers’ strategic objectives into high-impact Celonis use cases.
  • Collaborate with customer IT and business stakeholders to define project scope, data requirements, and success criteria.
  • Ensure data connectivity and extraction pipelines are properly configured, working with specialist resources when required.
  • Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards by writing clear specifications and validating agent outputs against business requirements.
  • Build and configure Celonis solutions across the platform, including the Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights.
  • Identify process inefficiencies and root causes using Celonis technology in close collaboration with customers.
  • Validate AI-generated outputs for accuracy, business relevance, and alignment with customer context, applying domain knowledge where AI cannot.
  • Lead value creation workshops and define measures to improve process inefficiencies.
  • Define and build KPIs to measure customer success and quantify business impact.
  • Design and build operational solutions to drive value and adoption and improve process conformance.
  • Enable key customer users to use and extend solutions independently, establishing a foundation for long-term adoption.
  • Manage project outcomes against timelines, scope, and customer expectations.
  • Train and demonstrate solutions to customer users, guiding them toward sustained value.
  • Document solution design decisions and configurations for future reference and handoff.
  • Develop and maintain deep expertise in one or more process domains or industry verticals.
  • Translate domain knowledge into scalable solution patterns, reference architectures, and best practices for broader team use.
  • Identify and standardize high-value use cases within the domain, collaborating with Product and Business Apps teams to shape the platform roadmap.
  • Direct, validate, and refine AI agents’ output; specify customer needs precisely, validate results, and iterate with customers rather than manually building every analysis.
  • Continuously learn and adapt as AI capabilities evolve, experiment with new approaches, and share effective practices with peers.
  • Balance delivery speed with quality by judging whether AI-generated output is right for each customer.
  • Ensure operational solutions built in Celonis are robust, user friendly, maintainable, and scalable.

Desired Qualifications

  • Additional languages are a plus.
  • Python experience is highly preferred.
  • Experience with prompt engineering or context engineering is a strong plus.
  • Knowledge of standard ERP systems such as SAP and Oracle and process areas such as Inventory Management, Order to Cash, Procure to Pay, and Accounts Payable is a strong plus.

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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