Description :
Role : Director of Engineering Hotels Platform
Marketplace Systems Ranking Pricing Supply Platform
The Problem Space :
Hotels is not a listings platform. It is a living marketplace. At any given second, hundreds of thousands of properties are competing for placement on a screen.
Prices are dynamic, inventory is finite, and the window between intent and booking is measured in seconds.
The system must simultaneously solve supply aggregation, real-time pricing, personalized ranking, and transactional integrity at national scale.
- Millions of properties dynamic pricing real-time inventory signals
- Multi-supplier aggregation : OTA contracts, direct connects, B2B wholesale
- Ranking must balance relevance, conversion probability, and commercial objectives
- Every mismatch between displayed price and booked price is a trust failure
We are rebuilding Hotels as an AI-native, supply-intelligent marketplace one that understands demand signals, personalizes results at depth, and prices dynamically without sacrificing integrity.
What You Will Own :
Supply & Aggregation Layer :
- Multi-source hotel inventory aggregation - OTAs, direct APIs, XML feeds, and proprietary supply
- Real-time availability and pricing sync across thousands of suppliers
- Rate parity monitoring, supplier reconciliation, and contract enforcement logic
Pricing & Yield Engine :
- Dynamic rate computation across room types, date ranges, and fare classes
- Promotional and discount logic - coupon stacking, loyalty pricing, B2B negotiated rates
- Price integrity systems - ensuring the displayed price is always the bookable price
Search & Ranking :
- High-throughput property search with geo, amenity, and availability filtering
- ML-powered ranking models - blending relevance, conversion signals, and revenue optimization
- Personalization layer - surfacing the right property for the right traveler at the right moment
Booking & Post-Booking :
- Transactional booking systems - voucher generation, confirmation, and supplier push
- Modification, cancellation, and refund flows - navigating complex supplier policies programmatically
AI-First Marketplace Intelligence :
- LLM-powered property discovery - natural language search and contextual recommendations
- Demand forecasting and dynamic pricing intelligence
- AI-driven review synthesis and trust signal extraction
- Agentic complaint resolution and post-booking support Engineering Challenges :
Key Responsibilities :
Director of Engineering - Hotels Platform • Bangalore
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