Principal Product Manager (Pricing and Personalization)

Join Hopper, a leading travel technology company, as a Principal Product Manager (Pricing and Personalization). In this role, you will build and lead the intelligence and reconciliation backbone of Hopper's travel services, including flights, hotels, cars, and ancillaries. You will design and scale model-driven infrastructure, partner with Data Science and Engineering, and drive cross-functional execution. This is a fully-remote position offered as an Independent Contractor engagement.

• 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.
• Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure.
• Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders
• Strong fluency with SQL and large-scale transactional datasets
• Deep understanding of marketplace economics, revenue mechanics, and pricing strategy
• Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale
• Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks
• 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)
• 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
• 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
• Prior experience in Data Science, Engineering, or a highly technical role
• Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments