Senior Value Engineer, Consumer Packaged Goods (cpg)

Celonis Celonis · Data AI · New York, NY +2 · Value Engineering

Senior Value Engineer specializing in CPG, focused on building and demonstrating AI/ML solutions for supply chain optimization using Celonis' Process Intelligence platform and AI/ML partners. Responsibilities include understanding client needs, prototyping AI solutions, leading pre- and post-sales engagements, and architecting LLM/agent systems with RAG and tools for enterprise clients.

What you'd actually do

  1. Understand the clients' overarching AI strategies and the distinct supply chain challenges inherent to high-volume CPG (e.g., predictive demand forecasting, inventory allocation, production scheduling, Order-to-Cash efficiency, and mitigating raw material volatility). As a Celonis product and CPG 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, commercial, and supply chain business units. Remain deeply involved post-sale to guide implementation, ensuring agreed value, margin efficiency, and adoption thresholds are successfully reached.
  3. Think out of the box with a "can-do" attitude, tackling heavily siloed legacy enterprise data. Leverage cutting-edge AI technologies to rapidly build creative prototypes in client hackathons, solving critical pain points across inventory deployment, shelf-availability, 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 inventory rebalancing, intelligent shipment exception handling, or automated trade promotion deductions and dispute resolution).
  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), and Warehouse Management Systems (WMS).

Skills

Required

  • 5+ years of experience leading technical pre-sales and post-sales engagements specifically within highly complex Supply Chain, CPG/FMCG, or Food & Beverage environments
  • Deep understanding of supply chain business processes native to high-volume consumer goods (such as Order-to-Cash, Procure-to-Pay, Sales & Operations Planning (S&OP), Direct Store Delivery (DSD), or Trade Promotion Optimization)
  • Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning
  • Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch)
  • Strong presentation skills

Nice to have

  • Master's Degree in computer science, supply chain management, industrial engineering, mathematics, or related fields, or equivalent work experience

What the JD emphasized

  • highly complex Supply Chain, CPG/FMCG, or Food & Beverage environments
  • defining AI roadmaps
  • building compelling ROI/TCO business cases
  • guiding technical implementations
  • Expertise in generative AI techniques
  • multi-agent orchestration
  • LLM/agent systems

Other signals

  • AI/ML solutions for supply chain
  • Generative AI
  • Agentic systems
  • RAG
  • LLM integration