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.***
Browse Jobs & Search Results
aCommerce is hiring a Project Manager for its Commercial Operations team in Bangkok. The role is client-dedicated, acting as the primary bridge between a premier retail brand partner, aCommerce's internal teams, and third-party partners, leading end-to-end implementation of technology solutions that support the brand's e-commerce and retail success. Responsibilities include client engagement and stakeholder management, commercial project delivery (market launches, retail campaign rollouts, process optimizations), tech solution oversight (e-commerce platforms, OMS, CRM, retail integrations), cross-functional coordination, operational excellence, and risk management and reporting. The role requires 5+ years of project management experience in e-commerce, retail, SaaS, or tech, a Bachelor's degree, and PMP/Agile/Scrum certifications are a plus.
The Merchant Ops Analyst enables business growth on the Xendit platform by reviewing and processing merchant KYC profiles to ensure compliance with regulations and internal policies. The role involves assessing business use cases to determine merchant eligibility and supporting payment channel activations by coordinating with external partners and internal teams. The analyst collaborates with cross-functional teams including Compliance, Risk, Product, Sales, and Partnerships to solve onboarding and activation cases efficiently while ensuring a smooth end-to-end merchant experience. The position requires a strong understanding of payment flows, partner requirements, and regulatory considerations to contribute to continuous process improvements.
The Merchant Ops Team Lead enables business growth on the Xendit platform by reviewing and processing merchant KYC profiles to ensure regulatory compliance. The role involves assessing eligibility for various business use cases and supporting payment channel activations by coordinating with external partners and internal teams to resolve issues and unblock delays. The position requires close collaboration with cross-functional teams, including Compliance, Risk, Product, Sales, and Partnerships, to streamline onboarding and activation processes while ensuring a smooth end-to-end merchant experience.
This role sits within Shopee's Operations function in Bangkok, supporting the SPX (Shopee Express) recovery area. The PMO drives the team's AI and automation roadmap, moving use cases from idea through pilot to live deployment, and scales existing AI solutions while tracking quality and adoption. The position partners with Product and Tech to translate operational pain points into requirements, user stories, and test cases, and builds dashboards to quantify initiative impact such as time saved, manpower freed, cost reduced, and recovery improved. Candidates need a Bachelor's degree in Computer Science, Data Analytics, Industrial Engineering, Business, or a related field, plus 1-3 years of experience in project or program management, product operations, data analytics, or process automation, ideally in logistics or e-commerce. Hands-on experience with AI tools such as LLM prompting, strong analytical skills with Excel/Sheets and SQL or a BI tool, and the ability to manage stakeholders across Ops, Product, and Tech are required.
The Senior Product Owner (e-Commerce) is responsible for defining the strategic vision and product roadmap. They manage dependencies across teams and ensure business value is delivered through Agile practices. The role requires translating user needs into user stories and maintaining a backlog while working closely with stakeholders and the CPO to align digital products with business strategy.
The Technical Product Manager will own and evolve the ML and LLM Ops platforms used across the organisation. The role involves shaping how teams build, evaluate, deploy, monitor, and scale machine learning models and LLM-powered applications. This is a deeply technical position focused on reducing the friction of building ML applications to enable faster, safer, and automated development. The manager will gather requirements from ML engineers and data scientists, identify platform gaps, and partner with engineering on architecture and API design.
Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.