<div class="content-intro"><p></p> <p><strong>About Agoda</strong></p> <p>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. </p> <p> </p> <p>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.</p> <p> </p> <p>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.</p></div><p><strong>Technical Product Manager – ML & LLM Platforms</strong></p> <p><strong>The Opportunity</strong><br>Agoda is rapidly accelerating its AI transformation. Our ambition is to make ML and LLM application development fast, scalable, reliable, and increasingly autonomous.<br>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.</p> <p>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.</p> <p>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.</p> <p><strong>In This Role, You’ll Get to </strong></p> <ul> <li>Define and evolve the product vision and roadmap for Agoda’s ML & LLM Ops platforms</li> <li>Shape how teams productionize ML models and LLM-powered applications</li> <li>Identify platform gaps, scalability constraints, and optimization opportunities</li> <li>Drive the evolution of our platform to support AI-native development workflows and coding agents</li> </ul> <p><strong>Requirements & Opportunity Discovery</strong></p> <ul> <li>Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams</li> <li>Translate complex technical needs into clear product requirements and prioritization frameworks</li> <li>Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity</li> <li>Balance experimentation flexibility with governance, safety, and cost efficiency</li> </ul> <p><strong>Execution & Delivery</strong></p> <ul> <li>Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis</li> <li>Partner closely with engineering to balance platform scalability, performance, and technical debt</li> <li>Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems</li> <li>Drive adoption through documentation, training, and internal evangelism</li> </ul> <p><strong>AI-Native Platform Evolution</strong></p> <ul> <li>Collaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents</li> <li>Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions</li> <li>Help define guardrails and workflows that allow safe, reliable AI-assisted development</li> </ul> <p><strong>What You’ll Need to Succeed</strong></p> <ul> <li>5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain</li> <li>2+ years of technical product or program management experience in fast-paced, high-scale environments</li> <li>Experience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines)</li> </ul> <p><strong>Technical Depth</strong></p> <ul> <li>Strong understanding of ML systems and model lifecycle management</li> <li>Familiarity with LLM application patterns (RAG, fine-tuning, prompt management, evaluation frameworks, etc.)</li> <li>Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers</li> <li>Strong analytical mindset with the ability to reason about system design, performance, and cost trade-offs</li> </ul> <p><strong>Leadership & Mindset</strong></p> <ul> <li>Strong cross-functional leadership skills and ability to influence without authority</li> <li>Comfortable operating in ambiguity and rapidly evolving technological landscapes</li> <li>Excellent communication skills — able to translate between business, platform engineering, and AI application teams</li> <li>Proactive, structured thinker with a strong problem-solving mindset</li> <li>High ownership and bias for impact</li> </ul> <p><strong>Why This Role Is Unique</strong></p> <ul> <li>You will shape how AI is built at scale inside Agoda.</li> <li>You will influence the evolution of our internal platforms toward AI-native and agent-compatible development.</li> <li>You will work at the forefront of ML and LLM production systems in a rapidly changing ecosystem.</li> <li>Your work will directly accelerate Agoda’s ability to deliver AI-powered experiences to millions of customers worldwide.</li> </ul> <p> </p> <p><strong><em>***This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.***</em></strong></p> <p style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"><span data-teams="true">#bangkok #sanjose #losangeles #sydney #melbourne #perth #vancouver #shanghai #beijing #shenzh