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. THIS ROLE IS BASED IN BANGKOK, THAILAND (RELOCATION PROVIDED) **Get to Know our Team:** The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. **The Opportunity:** We are seeking a Manager/Senior Manager to lead strategic and operational initiatives that create both growth and efficiency for the Supply department. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda’s business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations. **In this Role, you’ll get to:** * **General:**This role is a blend of hands on ‘in the business’ and executive level ‘on the business’ work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy. * **Project Delivery:**Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization. * **Experimentation:**Define success, measure / validate experiments and help ingrain an experimental mindset within the teams. * **Forecasting and Insights:**Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors. * **Analytics & Alerts:**Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency. * **Process Improvement:**Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements. * **Reporting:**Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts. * **Leadership:**Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams. **What you’ll Need to Succeed:** * 6+ years of leadership experience in analytics/data science/insights/strategy * 2+ years’ experience leading analytics, operational, product or other technical teams * Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar * Strong statistical modelling and machine learning knowledge * Strong experience in finding data insights and provide business recommendation to the business * Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. * Ability to multi-task, prioritize and coordinate resources. * Strong program/project management experience. * Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance) * Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus * People management – track record of developing stars * Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process **It’s Great if you Have:** * Master’s degree in statistics, economics, mathematics or similar discipline * Experience in conducting A/B testing experimentation * Travel industry / e-commerce / tech / consulting experience #### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works. ### **Discover more about working at Agoda** * Agoda Careers[https://careersatagoda.com](https://careersatagoda.com/) * Facebook[https://www.facebook.com/agodacareers/](https://www.facebook.com/agodacareers/) * LinkedIn[https://www.linkedin.com/company/agoda](https://www.linkedin.com/company/agoda) * YouTube[https://www.youtube.com/agodalife](https://www.youtube.com/agodalife) **Equal Opportunity Employer** At 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. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our [privacy policy](https://careersatagoda.com/privacy-statement). ## Apply Now Senior Manager, Supply Analytics (Bangkok Based Relocation Benefits Provided) +93 Website How did you hear about this job? Do you as a candidate have a personal relationship with a current Agoda employee? If yes, please indicate how you know the employee? What is the employee’s name? Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom? In which country/region are you currently based? Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so. Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time. We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted. To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.? Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters
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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:** The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap * Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders **What you’ll Need to Succeed:** * Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study * 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company * Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. * Excellent verbal and written communication skills in English * Ability to move fast and be efficient, making decisions on objective data evidence * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently **It’s great if you have:** * Experience in digital marketing or e-commerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi
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.***