Lead Applied Value Engineer – CPG & Retail

<div class=&quot;content-intro&quot;><p>Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI&#39;s operational blind spots into operational clarity. World&#39;s leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there&#39;s a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.</p></div><p data-path-to-node=&quot;1&quot;><strong data-path-to-node=&quot;1&quot; data-index-in-node=&quot;0&quot;>Role Description</strong> <br>As a Lead Applied Value Engineer, you will push the envelope in solving business-critical problems for strategic customers within our Consumer Packaged Goods (CPG) &amp; Retail Vertical. You will partner with our most important clients to understand their unique objectives—from global supply chain resilience and trade promotion optimization to inventory shrink reduction and large-scale margin expansion programs. By combining the world’s leading Process Intelligence (PI) platform with technologies from top AI and ML partners (Microsoft, OpenAI, Databricks), you will build innovative solutions that drive measurable impact.</p> <p data-path-to-node=&quot;2&quot;>Using our PI platform, we feed operational context to AI, bridging ERP, WMS, POS, and e-commerce platforms so it understands our customers’ complex commercial realities. This enables CPG brands and retailers to industrialize AI and unlock real ROI at scale. You will prototype these solutions, demonstrate their value to CPG and retail executives, and ensure successful implementation, adoption, and value realization to expand our footprint across the global retail and consumer ecosystem.</p> <p data-path-to-node=&quot;3&quot;><strong data-path-to-node=&quot;3&quot; data-index-in-node=&quot;0&quot;>Key Responsibilities</strong></p> <ul data-path-to-node=&quot;4&quot;> <li> <p data-path-to-node=&quot;4,0,0&quot;><strong data-path-to-node=&quot;4,0,0&quot; data-index-in-node=&quot;0&quot;>AI Discovery &amp; Solutioning:</strong> Understand customers&#39; AI strategies and sector-specific challenges (e.g., demand forecasting, out-of-stock prevention, shelf placement, trade spend analytics). Find the best problem-solution fit and translate business requirements into innovative, needle-moving solutions.</p> </li> <li> <p data-path-to-node=&quot;4,1,0&quot;><strong data-path-to-node=&quot;4,1,0&quot; data-index-in-node=&quot;0&quot;>Pre- and Post-Sales Execution:</strong> Drive the full customer lifecycle. Lead technical discovery and capability demonstrations during pre-sales, and remain deeply involved post-sale to guide implementation and ensure agreed value and adoption thresholds are met.</p> </li> <li> <p data-path-to-node=&quot;4,2,0&quot;><strong data-path-to-node=&quot;4,2,0&quot; data-index-in-node=&quot;0&quot;>Hackathons &amp; Prototyping:</strong> Leverage cutting-edge AI technologies to rapidly build creative prototypes during customer hackathons. Solve critical pain points specific to inventory routing, fulfillment, and promotional alignment with a proactive, &quot;can-do&quot; approach.</p> </li> <li> <p data-path-to-node=&quot;4,3,0&quot;><strong data-path-to-node=&quot;4,3,0&quot; data-index-in-node=&quot;0&quot;>Agentic Process Transformation:</strong> Shift customers from traditional, rule-based automation to autonomous AI agents empowered by Process Intelligence (e.g., autonomous inventory replenishment, intelligent deduction management), ensuring real ROI on AI deployments.</p> </li> <li> <p data-path-to-node=&quot;4,4,0&quot;><strong data-path-to-node=&quot;4,4,0&quot; data-index-in-node=&quot;0&quot;>Proof Projects:</strong> Architect and execute business-critical Proof-of-Value projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, integrating seamlessly with enterprise retail data, identity protocols, and consumer data privacy frameworks.</p> </li> <li> <p data-path-to-node=&quot;4,5,0&quot;><strong data-path-to-node=&quot;4,5,0&quot; data-index-in-node=&quot;0&quot;>Domain &amp; Industry Leadership:</strong> Serve as the primary technical subject matter expert for the CPG and retail sectors. Scale deep domain expertise across the organization to deliver high-value solutions for global brands, mega-retailers, and distribution partners.</p> </li> <li> <p data-path-to-node=&quot;4,6,0&quot;><strong data-path-to-node=&quot;4,6,0&quot; data-index-in-node=&quot;0&quot;>Smart Warehouse &amp; Fulfillment Operations:</strong> Champion modern distribution initiatives. Specialize in warehouse management system (WMS) optimization, RFID inventory tracking, micro-fulfillment centers, dynamic order routing, and fulfillment center workflows for high-velocity retail operations.</p> </li> <li> <p data-path-to-node=&quot;4,7,0&quot;><strong data-path-to-node=&quot;4,7,0&quot; data-index-in-node=&quot;0&quot;>Omnichannel &amp; DTC Transformation:</strong> Act as a technical advisor on the transition to seamless omnichannel and Direct-to-Consumer (DTC) execution. Optimize order-to-cash cycles, customer returns processing, dynamic pricing models, and loyalty program integrations.</p> </li> <li> <p data-path-to-node=&quot;4,8,0&quot;><strong data-path-to-node=&quot;4,8,0&quot; data-index-in-node=&quot;0&quot;>Sustainable Supply Chain &amp; Eco-Fulfillment:</strong> Drive technical strategy for sustainable retail operations. Focus on tracking Scope 3 emissions, optimizing cold-chain efficiency, reducing perishable food waste, and streamlining sustainable packaging workflows across the distribution network.</p> </li> </ul> <p data-path-to-node=&quot;5&quot;><strong data-path-to-node=&quot;5&quot; data-index-in-node=&quot;0&quot;>Requirements</strong></p> <ul data-path-to-node=&quot;6&quot;> <li> <p data-path-to-node=&quot;6,0,0&quot;><strong data-path-to-node=&quot;6,0,0&quot; data-index-in-node=&quot;0&quot;>Experience:</strong> 8+ years leading end-to-end technical pre-sales and post-sales engagements within the CPG, retail, or e-commerce space. Proven ability to define AI roadmaps, build compelling ROI/TCO business cases, and guide technical implementations to value realization.</p> </li> <li> <p data-path-to-node=&quot;6,1,0&quot;><strong data-path-to-node=&quot;6,1,0&quot; data-index-in-node=&quot;0&quot;>Domain Expertise:</strong> Deep understanding of retail and CPG business processes. In-depth experience in domains such as Inventory Management, Supply Chain, Trade Promotion, Category Management, or Loss Prevention, with the ability to translate strategic requirements into impactful solutions.</p> </li> <li> <p data-path-to-node=&quot;6,2,0&quot;><strong data-path-to-node=&quot;6,2,0&quot; data-index-in-node=&quot;0&quot;>Technical Proficiency:</strong> Solid knowledge of Python and common ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch), as well as data engineering tools relevant to handling large-scale POS, transactional, and inventory data.</p> </li> <li> <p data-path-to-node=&quot;6,3,0&quot;><strong data-path-to-node=&quot;6,3,0&quot; data-index-in-node=&quot;0&quot;>Communication Skills:</strong> Strong presentation and storytelling skills for both internal and external stakeholders (C-level executives, VPs of Merchandising, and Supply Chain Leaders), capable of leading technical whiteboarding sessions, formal readouts, and live demos.</p> </li> <li> <p data-path-to-node=&quot;6,4,0&quot;><strong data-path-to-node=&quot;6,4,0&quot; data-index-in-node=&quot;0&quot;>Education:</strong> Bachelor’s Degree required; Master&#39;s Degree in computer science, business analytics, engineering, mathematics, or a related field (or equivalent work experience) preferred.</p> </li> </ul> <p data-path-to-node=&quot;7&quot;><strong data-path-to-node=&quot;7&quot; data-index-in-node=&quot;0&quot;>Nice to Have</strong></p> <ul data-path-to-node=&quot;8&quot;> <li> <p data-path-to-node=&quot;8,0,0&quot;><strong data-path-to-node=&quot;8,0,0&quot; data-index-in-node=&quot;0&quot;>Agentic Systems:</strong> Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, with rigorous evaluations for enterprise consumer environments.</p> </li> <li> <p data-path-to-node=&quot;8,1,0&quot;><strong data-path-to-node=&quot;8,1,0&quot; data-index-in-node=&quot;0&quot;>LLM Ecosystem:</strong> Working knowledge of OSS packages like LangChain or LlamaIndex.</p> </li> <li> <p data-path-to-node=&quot;8,2,0&quot;><strong data-path-to-node=&quot;8,2,0&quot; data-index-in-node=&quot;0&quot;>Cloud &amp; Enterprise Stack:</strong> Experience deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with enterprise data structures (SAP, Salesforce Commerce Cloud, Snowflake, POS formats).</p> </li> <li> <p data-path-to-node=&quot;8,3,0&quot;><strong data-path-to-node=&quot;8,3,0&quot; data-index-in-node=&quot;0&quot;>Generative AI:</strong> Expertise in GenAI techniques (RAG, few-shot learning, multi-agent orchestration, multimodal understanding) to build high-impact use cases like automated customer service workflows, intelligent product catalog enrichment, or automated promotion generation.</p> </li> </ul> <p data-path-to-node=&quot;9&quot;><em data-path-to-node=&quot;9&quot; data-index-in-node=&quot;0&quot;>Sponsorship is not available for this role.</em></p><div class=&quot;content-pay-transparency&quot;><div class=&quot;pay-input&quot;><div class=&quot;description&quot;><span data-sheets-value=&quot;{&quot;1&quot;:2,&quot;2&quot;:&quot;For positions in New York City only: We offer a base salary range of xxx – xxx, based on a Full Time Schedule. \n\nTotal compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant&#39;s qualifications, skills, experiences, and location. &quot;}&quot; data-sheets-userformat=&quot;{&quot;2&quot;:4480,&quot;10&quot;:0,&quot;11&quot;:4,&quot;15&quot;:&quot;Arial&quot;}&quot;>The base salary range below is for the role in the specified location, based on a Full Time Schedule. <br><br>Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant&#39;s qualifications, skills, experiences, and location.</span></div><div class=&quot;title&quot;>The base salary range below is for the role in New York, based on a Full Time Schedule. </div><div class=&quot;pay-range&quot;><span>$196,000</span><span class=&quot;divider&quot;>&mdash;</span><span>$230,000 USD</span></div></div></div><div class=&quot;content-conclusion&quot;><p><strong>What Celonis can offer you:</strong></p> <ul class=&quot;p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested&quot; data-stringify-type=&quot;unordered-list&quot; data-list-tree=&quot;true&quot; data-indent=&quot;0&quot; data-border=&quot;0&quot;> <li><span style=&quot;text-decoration: underline;&quot;>Pioneer Innovation:</span> Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.</li> <li><span style=&q