The opportunity
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible.
What you'll do
Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales expansion cycles and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.
AI Discovery & Solutioning: Understand your customers' AI strategies and specific challenges. As a Celonis product expert, find the best problem-solution fit and translate customer requirements into innovative solutions that deliver measurable impact.
+ 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 or competitor equivalent (e.g., AWS): certification in relevant technologies (e.g. Azure, Data Engineering..etc). Knowledge of Data Connections, Data Objects, Data Validation and Data Analysis. Knowledge and use of LLM’s, across Microsoft or competitor equivalent (e.g. Claude, Copilot…etc). Understanding of basic prompting and data constructs within a prompt.
Value driven selling through expertise in identifying and prioritising use: cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis
Project Management: You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
What they're looking for
- Strong presentation skills to both internal and external stakeholders,: whether leading technical whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required; Focus in computer science, engineering,: mathematics, or related fields, or equivalent work experience preferred.
- 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 ML libraries (such as LangChain, pandas,: sklearn, PyTorch) as well as data engineering tools and technologies.
