Principal Product Manager (Pricing and Personalization)

Join Hopper, a leading travel technology company, as a Principal Product Manager (AI Travel). In this role, you will own the systems that define pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions. You will design and scale model-driven infrastructure, partner with Data Science and Engineering, and drive cross-functional execution. Enjoy competitive salary, unlimited time off, fully-remote workplace, pre-IPO equity, and more.

• Concevoir et mettre à l'échelle une infrastructure basée sur des modèles qui interprète en continu les données transactionnelles, génère des prix de référence et détecte les variations de performance.
• Diriger l'exécution interfonctionnelle pour livrer une infrastructure intégrée aux modèles, en collaborant avec les équipes d'ingénierie, de science des données, de finance et de commercial.
• Établir et gouverner la source de vérité canonique pour les revenus, la marge, le taux de prise, les transactions et les annulations à travers les systèmes et les partenaires.
• We are seeking an exceptional, AI-native Senior+ Product Manager to build and lead the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries
• Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale
• 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production. You have built and scaled systems where AI is foundational to product behavior — not an additive feature
• Track record of delivering complex, cross-functional systems with measurable business impact
• Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks
• Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders
• Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies
• Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models as part of their PM workflow (not just overseeing others doing it)
• Strong fluency with SQL and large-scale transactional datasets
• Deep understanding of marketplace economics, revenue mechanics, and pricing strategy
• Prior experience in Data Science, Engineering, or a highly technical role
• Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments