Principal Product Manager - Pricing and Personalization

Hopper is on a mission to become the leading travel platform globally, and they are seeking a Principal Product Manager - Pricing and Personalization to lead the intelligence and reconciliation backbone across various travel services. This role involves designing model-driven infrastructure for pricing intelligence and financial systems while collaborating with cross-functional teams to ensure effective execution.

Responsibilities:

• Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals
• Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection
• Build the supplier intelligence layer, transforming transactional data into automated performance signals, demand insights, and pricing diagnostics
• Establish and govern the canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems and partners
• Design model evaluation, monitoring, and feedback frameworks, including drift detection and continuous improvement mechanisms
• Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure

Requirements:

• 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production
• 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 working independently with SQL and large-scale transactional datasets
• 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
• Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale
• Experience owning pricing systems, financial reporting platforms or marketplace intelligence tools
• Deep understanding of marketplace economics, revenue mechanics, and pricing strategy
• Track record of delivering complex, cross-functional systems with measurable business impact
• Exceptional communicator able to operate effectively across technical, and commercial stakeholders
• Prior experience in Data Science, Engineering, or a highly technical role
• Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments