Leads an applied science team developing scalable machine learning and data science solutions for pricing and monetization. Responsibilities include architecting models, providing technical guidance, setting strategy and roadmaps, managing execution, hiring and mentoring scientists, and collaborating with engineering, product, analytics, and operations teams. The role also contributes to causal inference, stochastic optimization, demand estimation, and experiment design research.

Build and operate production agentic AI experiences for travel discovery, itinerary planning, personalization, and booking. Responsibilities span agent orchestration, backend services, APIs, data and retrieval systems, user-facing applications, evaluation, observability, safety, and production support. The role owns product outcomes from problem definition through launch and iteration, collaborates across Product, Design, Data, and Engineering, mentors teammates, and establishes reusable patterns for reliable AI workflows.