AI-Product Lead, Pricing & Revenue Intelligence

Jaide Health; New York (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Carrot Cash travel stipend

Co-working space on demand

Work-from-home stipend

Parental leave

Health insurance

401k plan

Job summary

Hopper is seeking an AI-native Senior Product Manager to build the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries. You will own pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions.

You will partner with Data Science and Engineering to productionize predictive models, manage model lifecycles, and ensure intelligence systems are measurable and trusted.

Qualifications

• 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production.
• Hands-on experience with prompts, evaluation harnesses, or prototyping with LLMs/foundation models as part of PM workflow.

Responsibilities

• Own the end-to-end strategy and roadmap for pricing, supplier performance, and financial reconciliation across travel verticals.
• Architect and evolve reference pricing systems using predictive modeling and real-time anomaly detection.
• Build the supplier intelligence layer transforming transactional data into performance signals and pricing diagnostics.
• Establish and govern the canonical source of truth for revenue, margins, take rate, and transactions across systems.

Skills

AI-native PM

Model lifecycle

SQL

Data scale

Pricing systems

Revenue intelligence

Tools

LLMs

Foundation models

Job description

Hopper is seeking an AI-native Senior Product Manager to build the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries. You will own pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions.

You will partner with Data Science and Engineering to productionize predictive models, manage model lifecycles, and ensure intelligence systems are measurable and trusted.