Principal Product Manager - AI Travel (100% Remote - USA)
Hopper · Remote (United States) · Travel Tech
About this role
Hopper is hiring a principal-level Product Manager as a remote position. The posting calls out experience with SQL, LLMs, Data Structures, Machine Learning.
- Role
- Product Manager
- Function
- product
- Level
- principal
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Remote (United States)
- Work mode
- Remote
- Department
- Travel Tech
- Posted
- Mar 20, 2026
More roles at Hopper
Job description
from Hopper careersAbout 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.