Senior Value Engineer -Consumer Goods

<div class="content-intro"><p>Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.</p></div><p><strong>Role Description</strong></p> <ul> <li> <p data-path-to-node="3">As an Senior Value Engineer specializing in CPG and Fleet Logistics, you are pushing the envelope in solving business-critical problems for some of the world's most recognized consumer brands and global mobility networks. You will be working intimately with our most strategic enterprise clients, understanding their uniquely complex objectives—spanning from high-velocity beverage manufacturing and Direct Store Delivery (DSD) optimization to massive-scale fleet lifecycle management and dynamic asset 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).</p> <p data-path-to-node="4">With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the intricate realities of our customers' massive supply chains, vehicle fleets, and distribution networks. This enables them to industrialize AI, unlocking real ROI on deployments at scale—ensuring products are always on the shelf and vehicles are always ready for the customer. There is no AI without PI. You will prototype these solutions, demonstrate their value to global Chief Supply Chain Officers (CSCOs) and Fleet Operations Executives, and ensure successful implementation, adoption, and value realization to solidify and expand the footprint of Celonis across these premier global networks.</p> </li> </ul> <p><strong>Key Responsibilities:</strong></p> <ul> <li> <p data-path-to-node="7,0,0"><strong data-path-to-node="7,0,0" data-index-in-node="0">AI Discovery &amp; Solutioning:</strong> 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.</p> </li> <li> <p data-path-to-node="7,1,0"><strong data-path-to-node="7,1,0" data-index-in-node="0">Pre- and Post-Sales Execution:</strong> 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.</p> </li> <li> <p data-path-to-node="7,2,0"><strong data-path-to-node="7,2,0" data-index-in-node="0">Hackathons &amp; Prototyping:</strong> 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.</p> </li> <li> <p data-path-to-node="7,3,0"><strong data-path-to-node="7,3,0" data-index-in-node="0">Agentic Process Transformation:</strong> 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).</p> </li> <li> <p data-path-to-node="7,4,0"><strong data-path-to-node="7,4,0" data-index-in-node="0">Proof Projects:</strong> 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.</p> </li> <li> <p data-path-to-node="7,5,0"><strong data-path-to-node="7,5,0" data-index-in-node="0">Domain &amp; Industry Leadership:</strong> Serve as the internal and external technical subject matter expert for CPG and Mobility Supply Chains, scaling knowledge across the organization regarding the nuances of fast-moving consumer goods and asset-heavy fleet operations.</p> </li> </ul> <p><strong>Requirements:</strong></p> <ul> <li> <p data-path-to-node="10,0,0"><strong data-path-to-node="10,0,0" data-index-in-node="0">5+ years of experience leading technical pre-sales and post-sales engagements specifically within highly complex Supply Chain, CPG/Beverage, or Fleet Logistics environments.</strong> This includes defining AI roadmaps, building compelling ROI/TCO business cases for large-scale distribution networks, and guiding technical implementations through to value realization.</p> </li> <li> <p data-path-to-node="10,1,0"><strong data-path-to-node="10,1,0" data-index-in-node="0">Deep understanding of supply chain business processes native to high-volume manufacturing and mobility</strong> (such as Direct Store Delivery (DSD), Order-to-Cash, Procure-to-Pay, Fleet Lifecycle Management, or Sales &amp; Operations Planning) with the ability to translate high-level operational needs into specific AI use cases.</p> </li> <li> <p data-path-to-node="10,2,0"><strong data-path-to-node="10,2,0" data-index-in-node="0">Expertise in generative AI techniques</strong> 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 dispatch assistants, or automated extraction of data from complex vendor contracts and logistics documentation).</p> </li> <li> <p data-path-to-node="10,3,0"><strong data-path-to-node="10,3,0" data-index-in-node="0">Solid knowledge of Python and common ML libraries</strong> (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies for handling massive, high-velocity transactional and IoT datasets.</p> </li> <li> <p data-path-to-node="10,4,0"><strong data-path-to-node="10,4,0" data-index-in-node="0">Strong presentation skills</strong> 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.</p> </li> <li> <p data-path-to-node="10,5,0"><strong data-path-to-node="10,5,0" data-index-in-node="0">Bachelor’s Degree required;</strong> Master's Degree in computer science, supply chain management, logistics, engineering, mathematics, or related fields, or equivalent work experience preferred.</p> </li> </ul> <p><strong>Nice to have (big plus):</strong></p> <ul> <li> <p data-path-to-node="13,0,0"><strong data-path-to-node="13,0,0" data-index-in-node="0">Hands-on experience building agentic systems</strong> using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations suited for enterprise-grade supply chain environments.</p> </li> <li> <p data-path-to-node="13,1,0"><strong data-path-to-node="13,1,0" data-index-in-node="0">Familiarity with CPG and fleet-specific systems</strong> (e.g., SAP APO/IBP, Blue Yonder, Manhattan, or major telematics/fleet tracking platforms).</p> </li> <li> <p data-path-to-node="13,2,0"><strong data-path-to-node="13,2,0" data-index-in-node="0">Working knowledge of tools in the LLM ecosystem</strong> such as LangChain, LlamaIndex, or other OSS packages.</p> </li> <li> <p data-path-to-node="13,3,0"><strong data-path-to-node="13,3,0" data-index-in-node="0">Experience in deploying and monitoring models at scale</strong> across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).</p> </li> </ul> <p>Visa sponsorship is not offered for this role.<br>Learn More about Value Engineering at Celo