Deployment Engineer – London

Overview

As a Deployment Engineer, you lead AI-augmented delivery of Celonis solutions for enterprise customers. You combine platform mastery with AI-enabled workflows to deliver measurable outcomes, guiding AI agents to build data models, dashboards, and insights. You translate customer needs into precise specifications, validate outputs, and ensure business relevance. You collaborate with stakeholders to drive value realization, adoption, and long-term success. This role offers impact at scale within a leader in Process Mining and AI-driven operations.

Pay / Benefits

• RSUs and merit-based refresh grants
• extensive parental leave
• Unlimited PTO and flexible hybrid work
• 70-20-10 learning framework and mentorship
• Wellbeing programs and counseling
• annual Impact Days and inclusion initiatives

Responsibilities

• Conduct business discovery to translate objectives into Celonis use cases
• Define project scope, data requirements, and success criteria with IT and business stakeholders
• Ensure data connectivity and extraction pipelines with specialist support as needed
• Create initial solution design blueprint covering requirements and data points
• Advocate automation use cases to ensure platform business-criticality
• Direct AI deployment agents to build data models, KPIs, and dashboards; validate outputs
• Build and configure Celonis solutions across the platform including data transformations
• Identify root causes of inefficiencies with Celonis tools, in collaboration with customers
• Design operational solutions to drive value, adoption, and conformance
• Validate AI outputs for accuracy and relevance, applying domain knowledge
• Lead value creation workshops and define measures to improve processes
• Define KPIs and quantify business impact; present value cases to senior stakeholders
• Enable customers to use and extend solutions; handover for long-term adoption
• Train users and document design decisions for future reference
• Develop deep expertise in process domains or industry verticals and standardize high-value use cases
• Support pre-sales as SME; participate in scoping, estimates, and offers
• Scale domain expertise through communities and internal knowledge sharing
• Contribute to hiring by defining role expectations and participating in interviews

Key requirements

• 4+ years in management or IT/solution/process improvement consulting within software vendors, consulting firms, or SI
• Ability to build and configure Celonis solutions (data modeling, process analysis, KPI definition, automation)
• Proficiency in PQL, SQL, and Python
• Comfort with AI-assisted development tools (e.g., Claude Code, Codex, Cursor); ability to write specs and evaluate AI outputs
• Experience with prompt or context engineering a plus
• Strong enterprise process/domain expertise (ERP knowledge and process areas) is a plus
• Consulting skills to run workshops, manage stakeholders, and deliver outcomes under ambiguity
• Analytical mindset with ability to translate requirements into technical solutions and quantify impact
• Learning agility and comfort with evolving tools
• Fluency in English; additional languages a plus
• Willingness to travel up to 50%

• stakeholder management
• communication with both technical and business audiences
• problem-solving oriented
• Celonis platform configuration (data modeling, process analysis, KPI definition, automation)
• PQL, SQL, Python
• AI-assisted development tools (Claude Code, Codex, Cursor)

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