Senior Applied Value Engineer – CPG & Retail

Responsibilities

• Lead AI discovery, solutioning, and technical demonstrations for strategic CPG and retail customers.
• Drive pre-sales and post-sales engagements from technical discovery through implementation, adoption, and value realization.
• Build rapid AI prototypes and hackathon solutions for inventory, fulfillment, demand forecasting, trade promotion, and related retail challenges.
• Architect and execute secure, scalable proof-of-value projects using LLMs, agents, RAG, tools, and guardrails.
• Translate retail and CPG business requirements into measurable AI and Process Intelligence outcomes.
• Serve as a technical subject matter expert across supply chain, inventory, trade promotion, category management, loss prevention, warehouse operations, omnichannel, DTC, and sustainability.
• Advise customers on WMS optimization, RFID tracking, micro-fulfillment, order routing, order-to-cash, returns, dynamic pricing, loyalty integrations, emissions tracking, cold-chain efficiency, food waste, and sustainable packaging.

Requirements

• 8+ years leading end-to-end technical pre-sales and post-sales engagements in CPG, retail, or e-commerce.
• Experience defining AI roadmaps, building ROI/TCO business cases, and guiding technical implementations to value realization.
• Deep knowledge of retail and CPG business processes, including inventory management, supply chain, trade promotion, category management, or loss prevention.
• Proficiency with Python and common machine learning libraries and data engineering tools.
• Strong presentation, storytelling, whiteboarding, executive communication, and live demonstration skills.
• Bachelor’s degree required; a master’s degree in computer science, business analytics, engineering, mathematics, or a related field is preferred, or equivalent work experience.

Nice to Have

• Experience building agentic systems with LLM orchestration, RAG, function calling, prompt engineering, and enterprise evaluations.
• Familiarity with LangChain, LlamaIndex, and generative AI techniques such as few-shot learning, multi-agent orchestration, and multimodal understanding.
• Experience deploying and monitoring models at scale on AWS Bedrock, Azure AI, or Google Cloud Vertex AI.
• Familiarity with SAP, Salesforce Commerce Cloud, Snowflake, POS data formats, and large-scale transactional and inventory data.

Compensation & Benefits

• Base salary: $160,000–$190,000 USD for the New York location.
• Total compensation may include base salary, bonus or commission, equity, and benefits.
• Benefits include health, dental, life insurance, 401(k), paid time off, RSUs, parental leave, flexible hybrid work, learning and mentorship programs, Wellhub membership support, mental health counseling, and wellness programs.
• Sponsorship is not available for this role.