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Celonis

Process intelligence platform for end-to-end efficiency

Lead Deployment Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeMunich, Germany

About the Job

Requirements

  • At least 8 years of experience in technical consulting, solution architecture, or delivery leadership within enterprise software, consulting firms, or system integrators.
  • At least 3 years in a senior or lead technical role with multi-stakeholder responsibility in large-scale projects at tier-1 organizations, such as digital twin implementations, global AI transformations, or near-real-time data pipelines.
  • Ability to design complex, multi-component solutions spanning data integration, process intelligence, automation, and AI, grounded in customer processes, with deep understanding of enterprise architecture patterns and trade-offs.
  • Expert-level knowledge of the Celonis platform, including the Process Intelligence Graph, data modeling, advanced PQL, automation and orchestration engine, and AI modules; working knowledge of Python.
  • Ability to design AI-augmented delivery workflows using frontier tools such as Claude Code, Codex, and Cursor; experience with context engineering, multi-agent system design, or AI validation at scale; and ability to define how AI should be used.
  • Deep knowledge of at least one major process domain or industry vertical, and ability to translate that expertise into scalable solution patterns and customer advisory.
  • Track record of building trusted advisor relationships with VP and C-level stakeholders; ability to present transformation strategies, defend architectural decisions, navigate organizational dynamics, and communicate technical trade-offs to senior leadership.
  • Ability to translate between technical and business audiences, and experience leading workshops, design sessions, and strategic reviews with senior stakeholders.
  • Ability to raise team performance; experience mentoring technical staff, setting quality standards, and contributing to organizational capability development.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Technology Management, Business Informatics, or a comparable field.
  • Fluency in English and German.

Responsibilities

  • Support Services scoping in pre-sales and ensure the right Services are positioned in line with the proposed Celonis solution architecture.
  • Design end-to-end Celonis solution architectures for complex enterprise deployments spanning multiple process areas, business units, and geographies.
  • Define the technical blueprint for integrating the Celonis platform with customer systems, data strategies, and transformation goals.
  • Design secure, scalable architectures tailored to complex enterprise requirements and optimized for long-term usage growth and high concurrency.
  • Make architectural trade-off decisions, including build versus configure, custom versus standard, and phased versus big-bang, with rationale tied to customer outcomes.
  • Own solution quality and outcome delivery across engagements by conducting design reviews and ensuring delivery teams follow architectural standards.
  • Design the use of AI deployment agents (Apollo) across complex, multi-workstream engagements, including agent workflows, validation checkpoints, and quality gates.
  • Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively.
  • Pioneer delivery approaches that use AI to compress timelines, improve quality, or unlock previously impractical use cases.
  • Set standards for AI output validation to maintain organizational quality as delivery accelerates.
  • Serve as the senior technical advisor to strategic customers and build trusted relationships with VP and C-level stakeholders.
  • Translate customer business challenges into Celonis platform strategies, identify high-impact use cases, and define success metrics.
  • Support pre-sales by providing technical credibility in complex deals, validating solution feasibility, and shaping project scope.
  • Guide customers through their Process Intelligence maturity journey, advising on platform expansion, AI readiness, and organizational change.
  • Leverage Celonis experts across the ecosystem to remove potential blockers in customer engagements.
  • Establish deep technical-advisor relationships with customer stakeholders, including Lead Data Engineers and Architects, the Head of Data Intelligence, and the Head of Business Transformation, to provide technical reassurance and maintain expert-to-expert alignment during deployment.
  • Work with Deployment Engineers on delivery projects to implement complex and cutting-edge customer use cases.
  • Stay current with Celonis technologies and own implementation of early-stage products for customers, ensuring close feedback cycles with Product and Engineering.
  • Review solution blueprints to ensure quality, scalability, and production readiness of business-critical and operational use cases.
  • Develop and maintain deep expertise in one or more process domains, such as Supply Chain, Order to Cash, Procure to Pay, or IT Service Management, or industry verticals.
  • Translate domain knowledge into scalable solution patterns, reference architectures, and best practices for the broader team.
  • Identify and standardize high-value use cases within the domain in collaboration with Deployment Engineers, Product, and Business Apps teams, and help shape the platform roadmap.
  • Contribute to hiring by defining expectations for the Deployment job family, conducting interviews, and calibrating candidate assessments.
  • Share knowledge through internal enablement sessions, documentation, and community-of-practice leadership.
  • Connect Product and Engineering with customer insights and field experience to inform platform development and influence the platform roadmap.

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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