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Agoda

Agoda

careersatagoda.com

9 Jobs

12,839 Employees

About the Company

At Agoda, we bridge the world through travel. We aim to make it easy and rewarding for more travelers to explore and experience the amazing world we live in. We do so by enabling more people to see the world for less – with our best-value deals across our 4,700,000+ hotels and holiday properties, 130,000+ flight routes, 300,000+ activities, and more.

Agoda was founded in 2005 in Thailand by two lifelong friends with a shared passion for travel. Today, Agoda is part of Booking Holdings [BKNG], and we have more than 7,000 employees from 90 nationalities in offices across Asia Pacific, the Middle East, Europe, and the Americas.

In every department – from engineering to customer support – you’ll find that data and technology are at the heart of our culture. There’s never a boring day at Agoda as we aim to make travel hassle-free for everyone. If you’re ready to begin your best journey with us and help us build travel for the world, join us.

For properties seeking partnership with Agoda, visit https://connect.agoda.com

Listed Jobs

Company background Company brand
Company Name
Agoda
Job Title
Data Analyst, Languages /Content (Bangkok-based, Relocation provided)
Job Description
**Job Title** Data Analyst – Languages / Content **Role Summary** Provide data‑driven insights and analytics for Agoda’s product teams focused on language performance and content optimization. Own end‑to‑end analytical projects, build dashboards, automate workflows, and collaborate with cross‑functional partners to influence strategic decisions. **Expectations** - Deliver clear, actionable findings to stakeholders. - Maintain data quality and consistency across reporting systems. - Prioritize multiple analytical initiatives in a fast‑paced environment. - Communicate technical concepts to non‑technical audiences. **Key Responsibilities** - Translate business briefs into structured projects, defining objectives, questions, and deliverables. - Analyze large datasets to uncover growth opportunities in customer behavior and language usage. - Build and maintain interactive dashboards (Tableau, Power BI, Metabase). - Automate data pipelines and reporting processes using SQL, Python, and Excel. - Support translation automation and MT/AI translation workflows. - Lead new analytics initiatives to streamline operations and improve reporting efficiency. **Required Skills** - Proficient in SQL, Python (pandas, numpy), and advanced Excel. - Experience with data visualization tools: Tableau, Power BI, or Metabase. - Strong analytical, problem‑solving, and critical thinking abilities. - Familiarity with A/B testing and experimental analysis. - Excellent written and verbal communication; ability to explain technical findings to diverse audiences. **Required Education & Certifications** - Bachelor’s degree in a quantitative field (Mathematics, Computer Science, Data Science, Statistics, Engineering, Economics). ---
Marrakesh, Morocco
On site
17-11-2025
Company background Company brand
Company Name
Agoda
Job Title
Strategic Project Management, Corporate Strategy
Job Description
**Job Title:** Strategic Project Management, Corporate Strategy **Role Summary:** Lead and coordinate high‑impact strategic initiatives across the organization, partnering with senior executives and cross‑functional teams to align company priorities with execution. Drive project delivery, monitor performance, and translate data insights into actionable decisions. **Expectations:** - Deliver projects on time, within scope, and exceeding quality expectations. - Establish clear objectives, timelines, and accountability for each initiative. - Provide transparent progress reporting and risk mitigation to senior leadership. - Foster collaboration across business units and external stakeholders. **Key Responsibilities:** - Plan, execute, and close strategic projects, developing detailed roadmaps and deliverables. - Coordinate cross‑departmental resources, ensuring alignment and efficient workflow. - Monitor project status, identify risks, and implement corrective actions promptly. - Create and maintain tools/processes that enhance team productivity and project tracking. - Serve as the primary liaison between internal teams and external partners (including other Booking Holdings brands). - Analyze market, competitor, and business trends; produce insights and dashboards for decision makers. - Track performance metrics, produce regular updates, and recommend course corrections. - Prepare concise status reports for senior leadership, highlighting achievements, challenges, and next steps. **Required Skills:** - Strong analytical and problem‑solving abilities. - Excellent written and verbal communication, including presentation skills for executive audiences. - Proven experience in cross‑functional collaboration and stakeholder management. - Demonstrated ability to influence decision makers and drive business growth. - Proficient in project management methodologies; knowledge of program management tools preferred. - Familiarity with SQL, Tableau, or willingness to learn. **Required Education & Certifications:** - Bachelor’s degree in business, economics, engineering, or related field. - Advanced degree (MBA, Master’s, or Ph.D.) preferred. - 4–8 years of relevant experience in strategy consulting or a tech environment, with a track record in project/program management.
London, United kingdom
On site
Junior
21-11-2025
Company background Company brand
Company Name
Agoda
Job Title
Staff Machine Learning Engineer (India based, relocation provided)
Job Description
Job Title: Staff Machine Learning Engineer Role Summary: Lead technical design, development, and production of large‑scale machine learning systems that power Agoda’s travel platform. Own end‑to‑end lifecycle of ML pipelines, from data ingestion to model deployment, while ensuring scalability, reliability, and performance at petabyte‑scale workloads. Expectations: - 8+ years of software engineering experience, with minimum 4 years in machine learning. - Proven track record building and scaling production ML pipelines. - Deep expertise in Python, PySpark, and distributed data processing. Key Responsibilities: - Architect and maintain scalable ML pipelines using Python, PySpark, Hadoop, SQL, and cloud storage (S3). - Improve existing ML systems for scalability, stability, accuracy, and efficiency. - Design, test, and deploy new libraries, frameworks, or full systems for core data services. - Collaborate with product owners and engineers to automate large‑scale data management and analysis tasks. - Debug, troubleshoot, and optimize production ML models (Random Forest, CNN, regression, etc.). - Oversee model deployment, monitoring, and performance tuning at Tier‑1 service level. Required Skills: - Expert Python programming (OOP, design patterns). - Advanced PySpark and distributed data processing. - Bash scripting and Linux system administration. - SQL proficiency and experience with big‑data ecosystems (Hadoop, S3, etc.). - Strong analytical and problem‑solving abilities. - Understanding of ML model internals and performance tuning. - Familiarity with cloud services and data architecture principles. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. - No specific certifications required.
London, United kingdom
On site
Senior
22-11-2025
Company background Company brand
Company Name
Agoda
Job Title
Senior Product Manager, AI (Bangkok-based)
Job Description
**Job title** Senior Product Manager, AI **Role Summary** Senior AI Product Manager drives the strategy, roadmap, and end‑to‑end delivery of traveler‑facing AI solutions that enhance travel planning across Agoda’s platform. The role partners with senior leaders in Product, Data, and Engineering, owns the product vision, and ensures responsible, privacy‑compliant AI deployment while delivering measurable business and user impact. **Expectations** - Own and evolve the AI product vision and roadmap in alignment with business objectives. - Lead cross‑functional teams through the full product lifecycle: ideation, experimentation, launch, and optimization. - Validate AI opportunities through rapid prototyping and data‑driven experiments. - Maintain high visibility with executive leadership, communicating progress, risks, and outcomes. - Champion responsible AI practices and privacy standards across product development. **Key Responsibilities** - Define AI product strategy and prioritize high‑value machine‑learning / generative‑AI use cases. - Conduct market, competitive, and user research to surface new AI opportunities. - Translate business goals into data and model requirements, shaping user journeys and feature specifications. - Lead rapid experimentation, A/B testing, and performance monitoring to validate concepts. - Collaborate closely with Engineering, Data Science, ML Engineering, UX, Marketing, and Legal to deliver scalable solutions. - Allocate and manage dedicated engineering and data‑science resources under the product’s ownership. - Own product metrics, drive continuous improvement, and report KPIs to stakeholders. - Ensure AI solutions comply with privacy regulations and internal responsible‑AI guidelines. **Required Skills** - Proven product management experience (≥3–5 years) with a focus on AI/ML products. - Strong analytical and data‑driven decision‑making abilities. - Deep understanding of applied machine learning, generative AI, and experimentation methods. - Excellent stakeholder management and cross‑functional collaboration. - Agile/Scrum experience and familiarity with product development lifecycles. - Effective communication, both written and verbal, for senior‑level audiences. - Strategic thinking and the ability to translate complex technical concepts into business value. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or related field. - Advanced degree (MBA, MS) preferred. - Relevant certifications (e.g., Scrum Product Owner, PMP, or AI/ML specialty) a plus.
Brussels, Belgium
Hybrid
Senior
03-12-2025