Technical Product Manager, LLM/ML Domain
Pubblicato il 01-08-2026 - Altro in Italia
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. We connect people to destinations and experiences with our great deals across hotels, holiday properties, flights, and experiences worldwide. Data and technology are at the heart of our culture, fueling our curiosity and innovation.
Technical Product Manager – ML & LLM Platforms The Opportunity Agoda is rapidly accelerating its AI transformation. Our ambition is to make ML and LLM application development fast, scalable, reliable, and increasingly autonomous. We are looking for a Technical Product Manager to own and evolve Agoda's ML & LLM Ops platforms. This role will shape how teams across Agoda build, iterate, deploy, monitor, and scale machine learning and large language model applications.
You will operate at the intersection of platform engineering, applied AI teams, and emerging AI coding agents — ensuring our internal platforms are production‐grade, optimized for experimentation, and increasingly native to AI‐assisted development. This is a high‐impact role in a fast‐moving space, where the goal is not just to support ML/LLM applications but to enable them to be created and iterated on with increasing automation and minimal human friction.
In This Role, You'll Get to Define and evolve the product vision and roadmap for Agoda's ML & LLM Ops platforms
Shape how teams productionize ML models and LLM‐powered applications
Identify platform gaps, scalability constraints, and optimization opportunities
Drive the evolution of our platform to support AI‐native development workflows and coding agents
Requirements & Opportunity Discovery Gather requirements from ML engineers, data scientists, backend