The opportunity
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity.
What you'll do
AI Discovery & Solutioning: Understand the clients' overarching AI strategies and the distinct challenges inherent to Banking (e.g., fraud detection, credit risk assessment, and automating KYC/AML). Translate complex financial workflows into innovative AI solutions that drive measurable ROI.
Pre- and Post-Sales Execution: Actively drive the customer lifecycle. Lead technical discovery and capability demonstrations during the expansion cycle. Remain deeply involved post-sale to guide implementation, ensuring efficiency and adoption thresholds are met.
Hackathons & Prototyping: Think creatively to tackle heavily siloed legacy core-banking systems. Leverage cutting-edge AI to rapidly build prototypes in client hackathons, solving pain points across Settlements, Reconciliations, and Payments.
Agentic Process Transformation: Support enterprise clients in shifting from rule-based automation to autonomous AI agents. Enable "intelligent" banking processes, such as autonomous exception handling in Trade Ops or automated Complaints Management .
Proof Projects: Execute end-to-end Business-critical Proof-of-Value projects. Architect secure, scalable LLM/agent systems (with RAG and guardrails) that integrate with complex enterprise stacks like SAP Banking, Salesforce FINS, or core-banking ledgers.
Domain Practitioner Leadership: Serve as a functional subject matter expert for the Banking value chain, scaling knowledge across the organization regarding the nuances of financial operations and transaction lifecycles.
What they're looking for
- + years of experience leading technical pre-sales and post-sales engagements: specifically within complex Banking or Financial Services environments. This includes building ROI business cases and guiding technical implementations.
- Strong Domain Knowledge: Deep familiarity with the banking value chain, with the ability to translate operational needs into AI use cases across:
- Lending & Onboarding: Loan Origination, KYC/AML, and Banking & Lending.
- Capital Markets: Sales & Trading Ops, Settlements, Reconciliations, and Custody Services.
