- Santriya Technologies is seeking an AI Product Content & Catalogue Specialist to create and maintain accurate product catalogue content using generative AI for drafting and enrichment, with rigorous source verification for attributes, claims, images and restricted content.

- 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:

- Create/edit titles, descriptions, attributes, taxonomy, metadata and SEO fields from supplier/product documentation.

- Use AI to draft or normalize content at scale, verifying dimensions, compatibility, ingredients/specifications, warranty and regulatory claims.

- Detect duplicate, incomplete or inconsistent catalogue records using AI/data quality rules.

- Coordinate image, translation and localization workflows.





- Maintain product version and source traceability for key attributes.

- Escalate regulated, safety, medical, financial or legally sensitive claims.

- Track content quality impact on search, conversion and returns.

- Maintain prompt templates and QA sampling standards for AI-generated catalogue content.

- 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:
- Catalogue completeness and accuracy improve

- Content creation cycle time reduces

- Returns from misleading content decline

- AI-generated content passes defined QA thresholds

📌 AI Product Content & Catalogue Specialist (Chennai)
🏢 Santriya Technologies
📍 Chennai