Overview In this AI-native Senior PM role, you will lead pricing intelligence, supplier performance, and financial reconciliation across Flights, Hotels, Cars, and Ancillaries. You'll shape model-driven infrastructure to interpret transactional data, generate reference pricing, and ensure revenue integrity in real time. You'll partner with Data Science and Engineering to productionize models and establish measurable evaluation and drift-detection frameworks. This foundational role drives partner economics and transparency within HTS's global commerce platform. You'll own cross-functional roadmaps and deliver production-grade, AI-enabled systems with tangible business impact.
Compensaciones / Ventajas remote-friendly options
private medical and dental coverage
private life and accident coverage
unlimited PTO
parential leave (very generous)
gym and home office stipends
Responsabilidades
Own end-to-end strategy for pricing intelligence, supplier performance intelligence, and financial reconciliation across travel verticals




Architect and evolve reference pricing systems using predictive modeling, elasticity signals, benchmarking, and real-time anomaly detection
Build supplier intelligence layer transforming transactional data into performance signals and pricing diagnostics
Define canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems
Design model evaluation, monitoring, and feedback frameworks including drift detection and continual improvement
Implement automated reconciliation and anomaly detection to surface financial inconsistencies at scale
Drive cross-functional execution with Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure
Requisitos principales 5+ years of Product Management experience with ownership of AI-native products and model-driven systems in production
Hands-on experience with prompts, evaluation harnesses, or prototyping with LLMs

📌 Senior Product Manager (Barcelona)
🏢 Hopper
📍 Barcelona