Senior Value Engineer, Consumer Packaged Goods (CPG)

Celonis; New York (NY); On-site; USD 131,000 - 154,000; Full time

Job summary

Ultimate.ai is seeking a Senior Value Engineer specializing in CPG to tackle complex supply chain challenges for leading consumer brands. You will work with enterprise clients to leverage Celonis’ Process Intelligence platform and AI technologies to drive measurable business impact.

Your role includes leading engagements, prototyping solutions, and aligning AI strategies to enhance operational efficiency. A Bachelor’s degree is required, with a preference for advanced degrees. The position offers a salary range of $131,000 – $154,000 USD.

Qualifications

• 5+ years of experience leading technical engagements in Supply Chain.
• Deep understanding of high-volume consumer goods processes.
• Expertise in generative AI techniques for impactful use cases.
• Solid knowledge of Python and ML libraries.

Responsibilities

• Understand clients' AI strategies and supply chain challenges.
• Drive customer lifecycle and guide implementation.
• Build prototypes in client hackathons using AI technologies.
• Support clients in achieving ROI from AI.
• Execute end-to-end Proof-of-Value projects.

Skills

Technical pre-sales and post-sales engagements

Understanding of supply chain processes

Generative AI techniques

Knowledge of Python

Strong presentation skills

Education

Bachelor’s Degree

Master’s Degree in computer science or related field

Tools

Python

LangChain

pandas

PyTorch

Job description

Role Description

As a Senior Value Engineer specializing in CPG, you will be pushing the envelope in solving business‑critical problems for some of the world’s most recognized consumer brands. You will work 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 such as Microsoft, OpenAI, and Databricks.

With Celonis’ 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. 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 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). Translate these complex 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, and remain involved post‑sale to guide implementation, ensuring agreed value, margin efficiency, and adoption thresholds are reached.
• Hackathons & Prototyping: Build creative prototypes rapidly in client hackathons, solving critical pain points across inventory deployment, shelf‑availability, and DSD execution using cutting‑edge AI technologies and legacy enterprise data.
• Agentic Process Transformation: Support clients in achieving tangible ROI from AI at scale by shifting from rule‑based automation to autonomous AI agents (e.g., autonomous inventory rebalancing, intelligent shipment exception handling, or automated trade promotion deductions and dispute resolution).
• Proof Projects: Execute end‑to‑end Proof‑of‑Value projects. Architect and deliver secure, scalable LLM/agent systems with retrieval‑augmented generation (RAG), tools, and guardrails, ensuring seamless integration with complex enterprise ERPs, 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 and disseminate knowledge across the organization regarding the nuances of FMG, trade spend management, and high‑velocity manufacturing.

Requirements

• 5+ years of experience leading technical pre‑sales and post‑sales engagements in highly complex Supply Chain, CPG/FMCG, or Food & Beverage environments. This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding implementations 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) and the ability to translate operational needs into 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.
• Solid knowledge of Python and common ML libraries (e.g., LangChain, pandas, pydantic, scikit‑learn, PyTorch) as well as data engineering tools for handling massive, high‑velocity transactional enterprise datasets.
• Strong presentation skills to internal and external stakeholders, leading technical whiteboards, 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 is preferred.

Nice to Have (Big Plus)

• Hands‑on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering with safety 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 LLM ecosystem tools such as LangChain, LlamaIndex, or other OSS packages.
• Experience deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).

Visa sponsorship is not offered for this role.

Salary range: $131,000 – $154,000 USD.