Job Summary

Santriya Technologies is seeking an AI Booking & Revenue Optimisation Executive to optimize booking availability, pricing and promotional decisions using AI-supported demand and revenue analytics while respecting approved rate, inventory and customer-protection rules.

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

- Monitor demand, booking pace, cancellations, availability, channel mix and competitor/market signals.
- Use AI forecasts and recommendation engines to identify pricing or inventory opportunities, reviewing rationale and constraints before action.
- Manage rate plans, restrictions, offers and inventory according to delegated authority.
- Coordinate with property/partner, marketing, finance and customer operations on events and changes.
- Analyze forecast error,



displacement, conversion and revenue outcomes.
- Protect rate integrity and avoid discriminatory or non-compliant use of customer data.
- Document overrides and material pricing decisions.
- Support experiments with transparent guardrails and success measures.

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

- Revenue/yield and conversion improve
- Forecast and pricing decisions are explainable
- Rate/inventory errors reduce
- Customer and partner rules remain compliant

📌 AI Booking & Revenue Optimisation Executive (Chennai)
🏢 Santriya Technologies
📍 Chennai