AI Product Content & Catalogue Specialist

Santriya Technologies; India; Remote; INR 900,000 - 1,350,000; Full time

Job summary

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. You will manage product documentation, taxonomy and SEO metadata, ensuring accuracy and alignment with approved data sources.

Collaboration with image, localization and QA teams is essential to maintain high quality catalogues

Qualifications

• 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.

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.

Job description

Job Summary

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 elevate 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