Job Description
The Senior Value Engineer role involves working with enterprise clients in CPG and Fleet Logistics to develop AI-driven solutions that optimize supply chain and fleet operations, demonstrating value through prototyping, implementation, and strategic consultation within a Process Intelligence platform.
Key Responsibilities
- Understand clients' AI strategies and supply chain challenges to develop innovative AI solutions.
- Lead technical discovery, capability demonstrations, and guide implementation during pre-sales and post-sales phases.
- Prototype AI solutions through hackathons, addressing inventory, fleet routing, and logistics pain points.
- Support clients in achieving ROI from AI by enabling autonomous AI agents and process transformation.
- Execute end-to-end Proof-of-Value projects, integrating AI systems with enterprise ERP, TMS, WMS, and IoT data streams.
- Serve as a technical subject matter expert for CPG and Mobility Supply Chains, sharing knowledge internally and externally.
Requirements
- At least 5 years of experience leading technical pre-sales and post-sales engagements specifically within highly complex Supply Chain, CPG Beverage, or Fleet Logistics environments, including defining AI roadmaps, building compelling ROI TCO business cases for large-scale distribution networks, and guiding technical implementations through to value realization.
- Deep understanding of supply chain business processes native to high-volume manufacturing and mobility such as Direct Store Delivery (DSD), Order-to-Cash, Procure-to-Pay, Fleet Lifecycle Management, or Sales Operations Planning, 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 such as intelligent dispatch assistants or automated extraction of data from complex vendor contracts and logistics 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 and IoT 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.
- Bachelor’s Degree in computer science, supply chain management, logistics, engineering, mathematics, or related fields, or equivalent work experience.
- Experience in 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 (preferred but not mandatory).
- Familiarity with CPG and fleet-specific systems such as SAP APO IBP, Blue Yonder, Manhattan, or major telematics fleet tracking platforms (preferred but not mandatory).
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other open-source packages (preferred but not mandatory).
- Experience deploying and monitoring models at scale across major cloud platforms including AWS Bedrock, Azure AI, or GCP Vertex (preferred but not mandatory).
Benefits & Perks
Compensation/salary range: 131,000 - 154,000 USD
Work schedule: Full-time schedule, hybrid work model, unlimited PTO in applicable regions, generous PTO globally
Work environment perks: Inclusive parental leave policy with 24 weeks paid leave for primary carers and 12 weeks for supporting carers, subsidized Wellhub memberships, mental health counseling, Wellness Weeks, paid time off for community and environmental volunteer activities, inclusion initiatives such as Inclusion Think Tank and Inclusion Days
Additional benefits: Restricted Stock Units (RSUs) and merit-based refresh grants, continuous learning opportunities through mentorship and dedicated platforms, health benefits including health, dental, life insurance, 401k, and paid time off
Ready to Apply?
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