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.
Implement automated reconciliation and anomaly detection systems to proactively surface financial inconsistencies at scale.
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.
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.
Strong fluency with SQL and large-scale transactional datasets.