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 [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. 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. **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 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 **What You’ll Need to Succeed** * 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 working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines) **Technical Depth** * 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 **Leadership & Mindset** * Strong cross-functional leadership skills and ability to influence without authority * Comfortable operating in ambiguity and rapidly evolving technological landscapes * Excellent communication skills — able to translate between business, platform engineering, and AI application teams * Proactive, structured thinker with a strong problem-solving mindset * High ownership and bias for impact **Why This Role Is Unique** * You will shape how AI is built at scale inside Agoda. * You will influence the evolution of our internal platforms toward AI-native and agent-compatible development. * You will work at the forefront of ML and LLM production systems in a rapidly changing ecosystem. * Your work will directly accelerate Agoda’s ability to deliver AI-powered experiences to millions of customers worldwide. ***This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.***

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 [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. 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. **Get To Know Our Team:** Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training. **The Opportunity:** * You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers. * You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces. **What You’ll Do:** * Model governed metrics, dimensions, joins, and grain for business domains * Structure expert context, glossaries, and validated question patterns as Git-reviewed assets * Build freshness, drift, and validation signals; treat stale knowledge as a production issue * Expose the layer through APIs so applications and agents get deterministic answers * Enable domain owners to propose, review, and publish knowledge without engineering deploys * Partner across analytics, product, and platform teams on access control and quality standards **Required Qualifications:** * 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling * Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent) * Strong SQL and analytical modeling on OLAP / warehouse systems * Knowledge engineering: versioned definitions, peer review, contributor workflows * API / service mindset: you design for multiple consumers, not a single dashboard * Clear communication across engineering, analytics, and product partners **Preferred Qualifications:** * Open-source semantic layer engines (Cube, MetricFlow patterns) * Agent or tool-interface experience for LLM-powered applications * NL-to-data products, retrieval, or evaluation harnesses * Python or Node.js service development * Large-scale e-commerce or travel analytics environments

This role involves leading a technical team to enhance the scalability, quality, and efficiency of data and machine learning processes. The engineer will design and build tools, libraries, pipelines, and platforms to support Data Science and Business teams in launching experiments in production. The position requires end-to-end ownership of systems to enable rapid production deployment. The team focuses on processing big data to help validate strategic decisions and react to a fast-changing environment.

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor and support physical facilities conditions. Some duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You'll provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order. You will develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures. The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

The Hardware Operations team manages the physical infrastructure that powers Google's search technology. As an Operations Technician, you will install, configure, test, and maintain server hardware and Linux clusters. You will also configure complex networking components such as routers, switches, and bridges. This role involves leading small project teams for larger installations and developing contingency plans. You will work with cutting-edge infrastructure, performing manual tasks like rack installation and movement. The Technical Infrastructure team builds the architecture that keeps Google's products running. You will deploy new data center infrastructure across teams and ensure the security and integrity of data. The role requires diagnosing and troubleshooting equipment issues while maintaining high security standards. You will perform preventative maintenance and end-of-life disassembly of equipment. This position is essential for keeping Google's networks up and running efficiently.

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 [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. 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. The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You’ll Get to * Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. * Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. * Work with developers and a variety of business owners to deliver daily results with the best quality. * Research discover and harness new ideas that can make a difference What You’ll Need to Succeed * 4+ years hands-on data science experience. * Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. * Significant proficiency in SQL and languages like Python, PySpark and/or Scala. * Can lead, work independently as well as play a key role in a team. * Good communication and interpersonal skills for working in a multicultural work environment. It’s Great if You Have * PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields * Experience in NLP, image processing and/or recommendation systems * Hands on experience in data engineering, working with big data framework like Spark/Hadoop * Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering, and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor, and support physical facility conditions. Daily duties include managing heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution, and control and monitoring systems. You will regularly help inspect, maintain, and repair various data center systems such as piping and non-critical electrical or mechanical system components. You'll provide daily assistance to senior technicians as you read blueprints and schematics, conduct tours of systems, and assess their working order. You will develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures. The team is a diverse, upbeat, creative, and team-oriented group of engineers committed to building and operating powerful data centers.

As a Data Center Security Manager, you will lead the global security program for designated locations, overseeing daily operations and vendor management. You will develop and execute cross-metro strategies to optimize operational efficiency and reduce costs while maintaining a strong security posture. This role requires you to serve as the principal escalation point for security incidents and ensure compliance with regional governmental and regulatory requirements. The Data Center Compliance, Safety, and Risk Management (CSRM) team is responsible for safeguarding people and assets within Google's critical infrastructure. You will utilize advanced security systems and comprehensive risk management frameworks to deliver and operate the safest, most secure, and resilient technical infrastructure. The team comprises industry-leading professionals dedicated to supporting all Google Data Centers through advanced security measures.

The Hardware Operations team manages the physical infrastructure that powers Google's search technology and AI services. As a Data Center Operations Manager, you will lead a team of technicians responsible for the installation, configuration, and maintenance of server hardware and network components. You will oversee complex installations and troubleshooting while ensuring the reliability and efficiency of our global data center operations. This role requires managing day-to-day operations, leading project teams, and developing contingency plans to support Google's massive scale infrastructure. You will partner with various stakeholders to implement facility strategies and maintain security and operational procedures. The team focuses on delivering unparalleled computing power and AI capabilities to global users. This position involves working with cutting-edge technologies including Linux clusters, network protocols, and large-scale hardware infrastructure. You will model teamwork and positive site culture while ensuring all operations align with organizational goals and safety standards.

This role focuses on driving the profitable growth of Agoda's Strategic Partnerships and Travel Distribution business. You will manage end-to-end technical account management for the company's largest B2B accommodation partners. The position requires optimizing connectivity and ensuring optimal access to inventory, rates, and content. You will collaborate cross-functionally with Product Managers to identify business needs and influence the design of next-generation features. Additionally, you will serve as a trusted advisor to B2B clients, translating business requirements into technical specifications. You will be responsible for managing connection performance, including new builds, upgrades, and day-to-day success rates. The role involves extracting and analyzing complex data sets to identify trends and areas for improvement. You will also identify and resolve technical issues impacting client connectivity to ensure seamless operations. Automating business processes is a key responsibility to support operational efficiency and scalability.