Technical Product Manager, LLM/ML Domain

About the role

The Technical Product Manager – ML & LLM Platforms role is within Agoda, a company that bridges the world through travel. Agoda was founded in 2005 by two lifelong friends and entrepreneurs who aimed to make travel more accessible. Today, Agoda is part of Booking Holdings and operates globally, connecting people to millions of hotels, holiday properties, flights, and experiences.

Opportunity

We are seeking a Technical Product Manager to lead the development and evolution of Agoda's ML & LLM Ops platforms. This role will focus on shaping how teams produce, test, deploy, and manage machine learning and large language model applications. The ideal candidate will also drive the platform towards becoming more compatible with AI coding assistants and autonomous agents.

Requirements

• 5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain
• 2+ years of technical product or program management experience in fast-paced, high-scale environments
• Experience with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines)
• Strong understanding of ML systems and model lifecycle management
• Familiarity with LLM application patterns (RAG, fine-tuning, prompt management, evaluation frameworks, etc.)
• Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers
• Strong analytical mindset with the ability to reason about system design, performance, and cost trade-offs

Opportunity Discovery

Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams. Translate complex technical needs into clear product requirements and prioritization frameworks. Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity. Balance experimentation flexibility with governance, safety, and cost efficiency.

Execution & Delivery

Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis. Partner closely with engineering to balance platform scalability, performance, and technical debt. Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems. Drive adoption through documentation, training, and internal evangelism.

AI-Native Platform Evolution

Collaborate with engineering to level up Agoda's platforms to be more compatible with AI coding assistants and autonomous agents. Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions. Help define guardrails and workflows that allow safe, reliable AI-assisted development.