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Lead Applied Value Engineer - High Tech

CelonisWhite Plains, NYL6 LeadSeptember 22nd, 2026
Overview As Lead Applied Value Engineer, you drive AI-enabled value for strategic High Tech customers, translating business goals into technically sound, high-impact solutions. You’ll blend Celonis Process Intelligence with top AI/ML tech to tackle challenges like demand forecasting, inventory optimization, and omnichannel transformation. You’ll lead pre- and post-sales efforts, prototype through hackathons, and guide adoption to realize measurable ROI at scale in retail and CPG. Join a mission to industrialize AI for global impact. Compensation / BenefitsRSUs and merit-based refresh grantsparental leave policyUnlimited PTO and flexible hybrid worklearning and growth programsWellbeing initiatives and mental health supportImpact Days for volunteering ResponsibilitiesAI discovery and solutioning to map business needs to value-driving solutionsLead end-to-end customer lifecycle in pre- and post-sales, with demonstrations and implementation guidancePrototype via hackathons and rapid prototyping to address inventory, fulfillment, and promotional alignmentDrive agentic process transformation using AI-enabled autonomous processesArchitect and execute Proof-of-Value projects with secure, scalable LLM/agent systemsServe as technical SME for High Tech sector and scale domain expertise across the organizationChampion smart warehouse, omnichannel, and sustainable supply chain initiativesAdvise on Omnichannel and DTC transformation, improving order-to-cash and returns processingShape sustainable retail strategies focusing on Scope 3 emissions, cold-chain, and packaging workflows Key requirements8+ years leading end-to-end technical pre-sales and post-sales engagements in CPG, retail, or e-commerceDeep understanding of High Tech business processes with experience in Inventory Management, Supply Chain, Trade Promotion, Category Management, or Loss PreventionStrong Python and ML library background (LangChain, pandas, pydantic, sklearn, PyTorch) and data engineering experience for large-scale dataExcellent communication and storytelling to engage C-level and senior leaders, with ability to run whiteboarding sessions and live demosBachelor’s Degree; Master’s preferred in CS, business analytics, engineering, math, or related fieldstrong presentation and storytellingleadership in cross-functional settingsproactive, can-do mindsetPythonLangChainpandas