ph3About Agoda /h3pAt 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 (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 millions of hotels and holiday properties, flights, and experiences worldwide. Data and technology are at the heart of our culture, fueling our curiosity and innovation. /ph3Technical Product Manager – ML LLM Platforms /h3h3The Opportunity /h3pAgoda is rapidly accelerating its AI transformation. Our ambition is to make machine‑learning and large‑language‑model 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 LLM applications at the intersection of platform engineering, applied AI teams, and emerging AI coding agents. It is a high‑impact role in a fast‑moving space, enabling the creation and iteration of ML/LLM applications with increasing automation and minimal human friction. /ph3In This Role, You’ll Get to /h3ulliDefine and evolve the product vision and roadmap for Agoda’s ML LLM Ops platforms /liliShape how teams productionize ML models and LLM‑powered applications /liliIdentify platform gaps, scalability constraints, and optimization opportunities /liliDrive the evolution of our platform to support AI‑native development workflows and coding agents /li /ulh3Requirements Opportunity Discovery /h3ulliGather requirements from ML engineers, data scientists, backend engineers,



and AI application teams /liliTranslate complex technical needs into clear product requirements and prioritization frameworks /liliProactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity /liliBalance experimentation flexibility with governance, safety, and cost efficiency /li /ulh3Execution Delivery /h3ulliOwn features end‑to‑end: concept, specification, prioritization, implementation, and post‑launch analysis /liliPartner closely with engineering to balance platform scalability, performance, and technical debt /liliEnsure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems /liliDrive adoption through documentation, training, and internal evangelism /li /ulh3AI‑Native Platform Evolution /h3ulliCollaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents /liliEnsure platform APIs, tooling, and abstractions enable meaningful AI‑generated code contributions /liliHelp define guardrails and workflows that allow safe, reliable AI‑assisted development /li /ulh3What You’ll Need To Succeed /h3ulli5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain /lili2+ years of technical product or program management experience in fast‑paced, high‑scale environments /liliExperience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines) /li /ulh3Technical Depth /h3ulliStrong understanding of ML systems and model lifecycle management /liliFamiliarity with LLM application patterns (RAG, fine‑tuning, prompt management,



evaluation frameworks, etc.) /liliComfortable discussing architecture, APIs, infrastructure trade‑offs, and scalability concerns with senior engineers /liliStrong analytical mindset with the ability to reason about system design, performance, and cost trade‑offs /li /ulh3Leadership Mindset /h3ulliStrong cross‑functional leadership skills and ability to influence without authority /liliComfortable operating in ambiguity and rapidly evolving technological landscapes /liliExcellent communication skills — able to translate between business, platform engineering, and AI application teams /liliProactive, structured thinker with a strong problem‑solving mindset /liliHigh ownership and bias for impact /li /ulh3Why This Role Is Unique /h3ulliYou will shape how AI is built at scale inside Agoda. /liliYou will influence the evolution of our internal platforms toward AI‑native and agent‑compatible development. /liliYou will work at the forefront of ML and LLM production systems in a rapidly changing ecosystem. /liliYour work will directly accelerate Agoda’s ability to deliver AI‑powered experiences to millions of customers worldwide. /liliThis position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided. /li /ulh3Equal Opportunity Employer /h3pAt Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. /p /p #J-18808-Ljbffr

📌 Technical Product Manager, LLM/ML Domain (Madrid)
🏢 Agoda
📍 Madrid