Applied Value Engineer

Applied Value Engineer Overview

Celonis is looking for an Applied Value Engineer to join its London team and help customers turn enterprise AI ambitions into practical, measurable business outcomes. The company positions itself as a platform for industrializing enterprise AI through its Context Model, which combines process data, business knowledge, and intelligence into a living digital twin that AI systems can understand. The role sits at the intersection of customer strategy, technical solution design, and value realization, supporting some of the company’s most important global accounts.

What you will do

• Work directly with strategic customers to understand their business direction and identify the operational challenges that matter most.
• Run technical discovery activities that uncover customer needs and translate them into tailored AI use cases for specific industries and business functions.
• Design, prototype, and develop advanced AI solutions on the Celonis platform, ensuring they are aligned to real business problems and can demonstrate clear impact.
• Lead proof-of-value engagements from start to finish, taking responsibility for delivery, technical execution, and measurable outcomes.
• Build secure, scalable LLM and agent-based systems that incorporate retrieval-augmented generation, tools, and guardrails, while integrating with enterprise data, identity, and compliance requirements.
• Stay actively engaged with strategic accounts in both an advisory and technical capacity until the expected value, adoption, and transformation goals are achieved.
• Present solutions and business impact to senior decision-makers, including C-suite audiences, through demos, whiteboarding, and formal readouts.
• Use domain expertise to create end-to-end solutions for particular industries and help convert successful approaches into reusable methods and assets for the wider team.
• Contribute to improving how the team delivers value by codifying best practices that accelerate time to value across accounts.

What Celonis is looking for

• At least two years of experience in executive-facing presales or value engineering, with evidence of helping close technical opportunities and building persuasive narratives around AI transformation.
• Experience delivering accountable proof-of-value work, including ROI and TCO modelling, and the ability to present ambitious solution ideas in a credible way.
• Strong knowledge of business processes and industry environments such as supply chain or finance, plus the ability to connect operational bottlenecks to strategic AI opportunities.
• Practical software and data engineering capability, including Python, API design, SQL, data integration, and familiarity with ML and AI libraries such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face Transformers.
• Hands-on experience with agentic AI patterns, including LLM orchestration, tool use or function calling, retrieval-augmented generation, agents, prompt engineering, and similar enterprise workflow approaches.
• Experience bringing ML or LLM solutions into production, including deployment, monitoring, MLOps or LLMOps, and lifecycle management across cloud platforms such as AWS Bedrock, Azure AI, or GCP Vertex AI.
• Understanding of AI architecture and security topics, including cloud reference architectures, identity and access controls, data governance, privacy, and compliance.
• Applied knowledge of optimisation, statistics, reinforcement learning, and forecasting is a plus.
• Excellent presentation and communication skills for both internal and external audiences, including executives, with confidence in demos, formal presentations, and whiteboarding sessions.
• Fluent English and a strong executive presence are essential.
• A master’s degree in computer science, engineering, mathematics, business engineering, business information, or a related discipline is preferred, though equivalent experience may also be considered.

What Celonis offers

• The chance to work for a global leader in process mining and process intelligence and help shape the future of AI-driven operations.
• Ownership in the business through Restricted Stock Units for full-time employees, along with merit-based refresh grants.
• Family-friendly leave benefits, including 24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from day one.
• Flexible time off, including unlimited PTO in regions where it applies and generous vacation policies globally.
• A hybrid working setup that combines remote focus time with in-office collaboration.
• Structured learning and development through a 70-20-10 framework, mentorship, and access to a dedicated learning platform.
• Wellbeing support such as subsidized Wellhub memberships, mental health counselling, and Wellness Weeks.
• Paid volunteer time through annual Impact Days, with opportunities to support community and environmental causes in person or virtually.
• Inclusion-focused initiatives such as the Inclusion Think Tank and annual Inclusion Days.
• A mission-driven culture built around customer value, teamwork, ownership, and sustainability.

About the company and team environment

Celonis describes itself as a platform that helps organizations analyze, design, and operate AI-driven processes. Its platform is powered by the Celonis Context Model, which brings together process data, business knowledge, and intelligence to create a digital twin of the enterprise that AI can understand. The company says its technology helps leading organizations and their partner ecosystems make AI agents, people, systems, and processes work together to produce meaningful transformation. Celonis is headquartered in Munich and New York City and operates across more than 20 offices worldwide.

The company emphasizes an inclusive culture and says that strong teams are built from different perspectives, backgrounds, and experiences. It encourages applicants from all backgrounds to apply and states that hiring decisions are based on qualifications and merit.

Application and privacy information

Applicants are asked to provide standard application details including contact information, a CV, a cover letter, current or most recent employer and job title, LinkedIn profile, salary expectations, preferred start date, and how they heard about the role. The form also asks whether the applicant is legally authorized to work in the country of application and whether immigration sponsorship will be needed now or in the future. The page does not say whether sponsorship is available.

Celonis also notes that personal data submitted during the application process will be handled in line with its privacy and candidate notices. Applicants must confirm that the information they provide is accurate and understand that false or incomplete information may affect employment offers or continued employment.

Degree Requirement: Not Specified

Visa Sponsorship May be