AI E-commerce Trading & Merchandising Executive

Santriya Technologies; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Santriya Technologies is seeking an AI E-commerce Trading & Merchandising Executive to optimize digital storefront performance using AI-supported merchandising, search, personalization and trading analytics while protecting price, promotion and product-content accuracy.

You will collaborate with product, marketing and engineering teams to implement data-driven merchandising strategies and test hypotheses with AI copilots and enterprise tools.

Job description

Job Summary

Santriya Technologies is seeking an AI E-commerce Trading & Merchandising Executive to optimize digital storefront performance using AI-supported merchandising, search, personalization and trading analytics while protecting price, promotion and product-content accuracy.

Product & documentation operating model

• Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.
• The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.
• Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.
• Validate material AI outputs against current documentation and authoritative system data, record exceptions, and elevate conflicts or missing guidance.
• Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities

• Manage category/landing-page assortment, ranking, campaigns and onsite merchandising according to trading plan.
• Use AI to identify demand, search and conversion opportunities and create test hypotheses.
• Validate price, promotion, availability and product claims against authoritative commerce systems.
• Coordinate content, inventory, marketing, pricing and operations for launches and events.
• Monitor traffic, conversion, AOV, stock availability and margin performance.
• Run controlled A/B tests and interpret results rather than accepting automated recommendations blindly.
• Identify poor search results, recommendation gaps and content defects.
• Escalate pricing, legal, restricted-product or customer-protection issues.

AI-enabled ways of working

• Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.
• Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.
• Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.
• Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

Human accountability

• AI is a copilot, not the accountable decision-maker. The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.
• Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

Success Measures

• Conversion and availability improve
• Merchandising changes are faster and data-led
• Price/content errors reduce
• Testing creates reusable learning