- 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: 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 escalate 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

📌 AI E-commerce Trading & Merchandising Executive (Chennai)
🏢 Santriya Technologies
📍 Chennai