This role leads the overall Capital Expenditure (CAPEX) management process, including annual planning, forecasting, actual spending monitoring, and variance analysis. The position partners with cross-functional teams to ensure effective CAPEX management, identify risks and opportunities, and conduct financial feasibility studies to support investment decisions. The manager will prepare monthly performance reports, lead financial feasibility studies, and review Capital Appropriation Requests (CAR) to ensure financial justification and compliance with company investment criteria.
This role is a hands-on analyst and product builder operating at the intersection of Marketing, data, product development, and generative AI. The team focuses on creating scalable AI products for Marketing, including experiment analysis, business reporting, campaign operations, and content workflows. Responsibilities include identifying high-value workflows, quantifying opportunities, translating business needs into product requirements, and building prototypes using SQL and Python. The role requires partnering with developers and Marketing teams to deploy solutions, leading user research and pilots, and driving adoption. Success involves launching AI products that improve productivity and business outcomes.
The AI Expert (LLMs & Generative AI) is responsible for designing, developing, and scaling AI solutions that leverage Large Language Models (LLMs), Generative AI, and modern AI platforms to solve business challenges and create measurable value. This role works closely with business stakeholders, AI Business Partners, data engineers, and solution architects to translate requirements into production-ready AI applications, including copilots, intelligent assistants, agentic workflows, knowledge management solutions, and process automation use cases. The AI Expert evaluates emerging AI technologies, establishes technical best practices, ensures responsible AI implementation, and drives the adoption of scalable AI architectures aligned with enterprise standards, security requirements, and governance frameworks.
Qualification:
* Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field, with 5+ years of experience in software development, machine learning, data science, or AI engineering.
* Strong expertise in Large Language Models (LLMs), Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and model orchestration frameworks.
* Hands-on experience with leading AI platforms and cloud services such as Azure AI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or equivalent technologies.
* Proficiency in Python and modern AI development frameworks, with a solid understanding of machine learning concepts, API integrations, MLOps, and enterprise solution architecture.
* Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and business audiences.
* Experience implementing responsible AI practices, model evaluation frameworks, and production-grade AI solutions is highly desirable.
About Agoda
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 People Team is a purveyor of opportunity, searching the globe for the most talented individuals and offering them an open, collaborative workplace. By prioritizing skill and potential, we have cultivated a powerful assembly of professionals through our drive for equal opportunity and diversity. We make the move to Agoda a breeze with assisted onboarding programs, and we continue to support and enrich our thousands of Agoda employees through individual growth with outstanding learning programs and various means of assistance. Our development of incredible benefits has ensured everyone can stay strong, healthy, and happy during their time at Agoda. Leading ambitious changes and making a positive impact in the lives of the employees, the People Team is a crucial and rewarding part of the Agoda family.
The Opportunity:
As a Compensation & Benefits leader, you’ll play a key role in shaping a competitive and equitable total rewards strategy that supports our people and business goals. You’ll own compensation and benefits programs, provide data-driven insights to guide managers and decision making, and partner closely with HRBP, Finance, Payroll, and business leaders to ensure our rewards offering remains competitive, effective, and aligned with our employee value proposition.
What You’ll Do:
* Develop and manage the company’s compensation philosophy, frameworks, and guidelines.
* Conduct regular market benchmarking and salary reviews to ensure competitiveness and internal equity.
* Lead the annual compensation review process.
* Partner with HR Business Partners and business leaders on compensation decisions, promotions, new hires, and internal transfers.
* Own and continuously enhance our employee benefits programs, including medical insurance, life insurance, retirement/pension, flexible benefits, recognition programs, and other benefits.
* Evaluate benefits competitiveness, employee utilization, and cost effectiveness.
* Lead benefits renewals and vendor negotiations, partnering with brokers, insurers, and providers to ensure quality service and appropriate coverage.
* Partner closely with Finance and Payroll on budgeting, forecasting, and employee cost management.
* Work with HR Operations and HRIS teams to identify and implement C&B process improvements.
* Communicate compensation and benefits programs clearly to employees and managers.
* Lead, coach, and develop C&B team members, where applicable.
Required Qualifications:
* 7+ years of experience in Compensation & Benefits, including hands-on experience managing compensation review cycles, conducting market benchmarking, and developing compensation guidelines, as well as overseeing benefits strategy and operations.
* Experience with job architecture and job evaluation is a plus.
* Strong analytical and problem-solving skills, with the ability to turn data into clear, actionable insights.
* Great stakeholder management, able to engage in strategic discussions with senior management stakeholders.
* Advanced Excel skills; good working knowledge of related tolls and systems.
* Strong project management skills and sharp eye for detail.
* Excellent communication skills; fluency in English required.
* Good fit with our highly multi-cultural, fast-innovating environment,
* Ability to cope well with ambiguity and change.
* Humility, flexibility, good interpersonal skill
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.***
