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Role Description

As a Senior Value Engineer specializing in CPG, you are pushing the envelope in solving business-critical problems for some of the world's most recognized consumer brands. You will be working intimately with our most strategic enterprise clients, understanding their uniquely complex objectives-spanning from high-velocity manufacturing, demand planning, and Trade Promotion Management (TPM) to Direct Store Delivery (DSD) optimization and dynamic logistics routing. You will build Celonis solutions using the world's leading Process Intelligence (PI) platform in combination with top AI and ML technology partners (e.g., Microsoft, OpenAI, Databricks).

With Celonis' Process Intelligence (PI) platform, we feed operational context to AI so it understands the intricate realities of our customers' massive supply chains, manufacturing operations, and multi-tier distribution networks. This enables them to industrialize AI, unlocking real ROI on deployments at scale-ensuring products are always on the shelf, inventory health is optimized, and waste is minimized. There is no AI without PI. You will prototype these solutions, demonstrate their value to global Chief Supply Chain Officers (CSCOs) and Commercial Excellence Executives, and ensure successful implementation, adoption, and value realization to solidify and expand the footprint of Celonis across these premier global brands.

Key Responsibilities

• AI Discovery & Solutioning: 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.

• Pre- and Post-Sales Execution: 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.

• Hackathons & Prototyping: 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.

• Agentic Process Transformation: 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).

• Proof Projects: 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).

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for CPG Supply Chains, scaling knowledge across the organization regarding the nuances of fast-moving consumer goods (FMCG), trade spend management, and high-velocity manufacturing.

Requirements

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within highly complex Supply Chain, CPG/FMCG, or Food & Beverage environments. This includes defining AI roadmaps, building compelling ROI/TCO business cases for large-scale manufacturing and distribution networks, and guiding technical implementations through to value realization.

• 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) with the ability to translate high-level operational needs into specific AI use cases.

• 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 (e.g., intelligent logistics routing assistants, or automated extraction of data from complex vendor contracts and shipping documentation).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies for handling massive, high-velocity transactional enterprise datasets.

• Strong presentation skills to both internal and external stakeholders (including supply chain executives, logistics directors, and enterprise IT leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Educational Background: Bachelor's Degree required; Master's Degree in computer science, supply chain management, industrial engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to Have (Big Plus)

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations suited for enterprise-grade supply chain environments.

• Familiarity with CPG-specific enterprise architecture (e.g., SAP APO/IBP, Blue Yonder, Manhattan, or major ERP/WMS platforms).

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).

Visa sponsorship is not offered for this role.
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