Principal Product Manager - Pricing and Personalization - hopper

About the Role

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.

This role owns 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 that continuously interprets transactional data, generates reference pricing, detects performance shifts, reconciles financial flows, and governs revenue integrity in real time.

This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles, and ensure intelligence systems are measurable, adaptive, and trusted.

The work you do will directly shape partner economics, supplier transparency, and HTS’s global commerce platform.

What would your

day-to-day

look like:

• 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.

An ideal candidate has:

• 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.
• 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.