Senior Value Engineer -Consumer Goods

Key Responsibilities

• AI Discovery & Solutioning: Understand clients' AI strategies and supply chain challenges in CPG and fleet mobility (e.g., predictive demand forecasting, route optimization, fleet predictive maintenance). Translate into AI solutions using Celonis Process Intelligence platform.

• Pre- and Post-Sales Execution: Drive full customer lifecycle, lead technical discovery and demonstrations, guide implementation to ensure value realization.

• Hackathons & Prototyping: Build prototypes using AI technologies for inventory, fleet routing, and DSD execution.

• Agentic Process Transformation: Enable ROI from AI agents for fleet rebalancing, shipment handling, etc.

• Proof Projects: Execute end-to-end Proof-of-Value projects with LLM/agent systems, integrating ERPs (SAP), TMS, WMS, IoT data.

• Domain & Industry Leadership: Act as SME for CPG and Mobility Supply Chains.

Requirements

• 5+ years leading technical pre-sales/post-sales in Supply Chain, CPG/Beverage, or Fleet Logistics.
• Deep understanding of supply chain processes (DSD, Order-to-Cash, Procure-to-Pay, Fleet Lifecycle, S&OP).
• Expertise in generative AI: RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, fine-tuning.
• Solid Python knowledge and ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch); data engineering for transactional/IoT data.
• Strong presentation skills.

Bachelor’s Degree required; Master's in CS, supply chain, logistics, engineering, math preferred.

Nice to Have

• Hands-on agentic systems with LLM orchestration, RAG, function calling, prompt engineering.
• CPG/fleet systems (SAP APO/IBP, Blue Yonder, Manhattan, telematics).
• LLM tools: LangChain, LlamaIndex.
• Deploying models on AWS Bedrock, Azure AI, GCP Vertex.