Applied Value Engineer

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. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

Role Description
As a Lead Applied Value Engineer, you will push the envelope in solving business-critical problems for strategic customers within our Consumer Packaged Goods (CPG) & Retail Vertical. You will partner with our most important clients to understand their unique objectives—from global supply chain resilience and trade promotion optimization to inventory shrink reduction and large-scale margin expansion programs. By combining the world’s leading Process Intelligence (PI) platform with technologies from top AI and ML partners (Microsoft, OpenAI, Databricks), you will build innovative solutions that drive measurable impact.

Using our PI platform, we feed operational context to AI, bridging ERP, WMS, POS, and e-commerce platforms so it understands our customers’ complex commercial realities. This enables CPG brands and retailers to industrialize AI and unlock real ROI at scale. You will prototype these solutions, demonstrate their value to CPG and retail executives, and ensure successful implementation, adoption, and value realization to expand our footprint across the global retail and consumer ecosystem.

Key Responsibilities

• AI Discovery & Solutioning: Understand customers' AI strategies and sector-specific challenges (e.g., demand forecasting, out-of-stock prevention, shelf placement, trade spend analytics). Find the best problem-solution fit and translate business requirements into innovative, needle-moving solutions.

• Pre- and Post-Sales Execution: Drive the full customer lifecycle. Lead technical discovery and capability demonstrations during pre-sales, and remain deeply involved post-sale to guide implementation and ensure agreed value and adoption thresholds are met.

• Hackathons & Prototyping: Leverage cutting-edge AI technologies to rapidly build creative prototypes during customer hackathons. Solve critical pain points specific to inventory routing, fulfillment, and promotional alignment with a proactive, "can-do" approach.