Senior Value Engineer -consumer Goods

Celonis Celonis · Data AI · New York, NY · Value Engineering

Senior Value Engineer for Celonis, specializing in CPG and Fleet Logistics. The role involves understanding client supply chain challenges, translating them into AI solutions using Celonis' Process Intelligence platform and AI/ML partners, prototyping these solutions, and demonstrating their value to clients. Key responsibilities include AI discovery, pre- and post-sales execution, hackathons, building agentic process transformations, and executing Proof-of-Value projects with LLM/agent systems, RAG, and tools.

What you'd actually do

  1. Understand the clients' overarching AI strategies and the distinct supply chain challenges inherent to high-volume CPG and fleet mobility (e.g., predictive demand forecasting, route optimization, fleet predictive maintenance, dynamic asset allocation, and mitigating raw material volatility). As a Celonis product and logistics domain expert, translate these complex, physical-world challenges into innovative AI solutions that drive measurable impact.
  2. Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the expansion/pre-sales cycle within various manufacturing, distribution, and fleet management business units. Remain deeply involved post-sale to guide implementation, ensuring agreed value, efficiency, and adoption thresholds are successfully reached.
  3. Think out of the box with a "can-do" attitude, tackling heavily siloed legacy logistics and telematics networks. Leverage cutting-edge AI technologies to rapidly build creative prototypes in client hackathons, solving critical pain points across inventory allocation, fleet routing, and DSD execution.
  4. Support these enterprise clients in achieving tangible ROI from AI at scale. Enable a fundamental shift from traditional, rule-based automation to autonomous AI agents empowered by the Celonis Process Intelligence Platform (e.g., autonomous fleet rebalancing, intelligent shipment exception handling, or automated trade promotion deductions).
  5. End-to-end execution of business-critical Proof-of-Value projects. Architect and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, ensuring seamless integration with complex enterprise ERPs (e.g., SAP), Transportation Management Systems (TMS), Warehouse Management Systems (WMS), and massive IoT/telematics data streams.

Skills

Required

  • Python
  • LangChain
  • pandas
  • pydantic
  • sklearn
  • PyTorch
  • RAG
  • prompt engineering
  • multi-agent orchestration
  • multimodal understanding
  • fine-tuning
  • Supply Chain business processes
  • CPG/Beverage
  • Fleet Logistics
  • pre-sales
  • post-sales

Nice to have

  • Generative AI
  • LLM
  • AI/ML
  • Process Intelligence
  • Process Mining
  • SAP
  • TMS
  • WMS
  • IoT
  • telematics

What the JD emphasized

  • 5+ years of experience leading technical pre-sales and post-sales engagements specifically within highly complex Supply Chain, CPG/Beverage, or Fleet Logistics environments
  • Deep understanding of supply chain business processes native to high-volume manufacturing and mobility
  • Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases

Other signals

  • AI/ML is core to the product
  • Customer-facing AI solutions
  • Building agentic systems