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 6,000,000+ hotels and holiday properties, 130,000+ flight routes, 360,000+ 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 - Recruitment Scam Alert: We know that searching for a new career opportunity is an exciting step, and we want to help make sure your experience stays safe and secure. If you’re chatting with someone from Agoda, please note that we only use “@agoda.com” or “@agoda.global” email domains, and all legitimate Agoda job opportunities are posted here on our career website. We will never ask for payment or personal banking information during the recruitment process. If you’re ever unsure, take a moment to verify the sender’s email address. If you come across suspicious activity, please report it to https://www.linkedin.com/help/linkedin/ask/TS-RPS
On-site · Vancouver
Design and maintain scalable data pipelines, models, services, and internal tools that support customer experience operations, reporting, monitoring, forecasting, and experimentation. Partner with business and technical teams to define metrics, analyze operational trends, improve data reliability and efficiency, and—at Staff level—guide strategy, architecture, and team development.
On-site · Montréal
Design and maintain scalable data pipelines, models, monitoring, and internal data products that support customer experience operations, reporting, and decision-making. Partner with business and technical teams to analyze operational performance, define consistent metrics, improve efficiency, and, at Staff level, guide strategy and architecture while mentoring colleagues.
Hybrid · Vancouver
Provide customer and partner support through phone, email, and chat, resolving booking issues such as changes, cancellations, and payments. Meet individual and team performance targets, apply company policies consistently, protect customer data, and collaborate with colleagues to resolve complex cases while working rotating shifts.
On-site · Vancouver
Advise on legal, regulatory, product, and commercial matters for Agoda’s travel business, including flights, activities, packages, supplier agreements, and launches in new markets. Lead and develop a team of senior lawyers while partnering with stakeholders to manage cross-functional risks, support disputes and regulatory matters, and guide business and product decisions.
On-site · Toronto
Design and operate secure cloud deployments across AWS and GCP using Terraform, and deploy security products in Kubernetes environments through GitOps workflows. Build security tooling, remediate cloud misconfigurations, advise engineering teams on secure architecture, and improve cloud-native detection and alerting.
On-site · Vancouver
The specialist will maintain and enhance the Workday platform by troubleshooting production issues, managing configuration updates, and resolving data discrepancies. They will also partner with cross-functional teams to optimize business processes and ensure system compliance.
On-site · Toronto
The role involves experimenting with text ads and campaign structures across various search engines and social media platforms. Additionally, the analyst will develop optimization models and build dashboards to analyze vast amounts of experimental data.
On-site · Vancouver
The role involves experimenting with and optimizing search and display ad campaigns across various platforms like Google and Facebook. The analyst will also develop optimization models and build dashboards to analyze large datasets from experiments.
On-site · Montréal
The role involves experimenting with search and display ad campaigns across various platforms to optimize performance. Additionally, the analyst will develop data models and dashboards to analyze experiment results and improve customer lifetime value.
On-site · Vancouver
The role involves experimenting with text ads and campaign structures across various search engines and social media platforms. Additionally, the analyst will develop optimization models and build dashboards to analyze vast amounts of experimental data.
On-site · Vancouver
The role involves experimenting with search and display ad campaigns across various global platforms to optimize performance. Additionally, the candidate will analyze large datasets to develop optimization models and build dashboards for account managers.
On-site · Montréal
The role involves experimenting with and optimizing search and display marketing campaigns across various global platforms. Additionally, the candidate will analyze large datasets to develop optimization models and build performance dashboards.
On-site · Montréal
The role focuses on optimizing campaign performance through experimentation and bidding strategies on search engines. It involves developing predictive models and building dashboards to derive growth insights and communicate recommendations to stakeholders.
On-site · Vancouver
The role focuses on optimizing campaign performance through experimentation and bidding strategies on major search engines. It involves developing predictive models and building dashboards to derive growth insights and communicate recommendations to stakeholders.
On-site · Toronto
The role involves experimenting with text ads and campaign structures across various search engines and social media platforms. Additionally, the analyst will develop optimization models and build dashboards to analyze large datasets from marketing experiments.
On-site · Montréal
The role involves experimenting with search and display ad campaigns across various platforms to optimize performance. Additionally, the analyst will develop data models and dashboards to analyze experiment results and support account managers.
On-site · Montréal
The role involves experimenting with pricing strategies and developing predictive models to understand demand elasticity. Additionally, the analyst will build dashboards to track performance and communicate growth recommendations to stakeholders.
On-site · Toronto
The role involves experimenting with search and display ad campaigns across various platforms to optimize performance. Additionally, the analyst will develop data models and dashboards to analyze experiment results and drive marketing optimization.
On-site · Toronto
Manage digital campaign planning, A/B testing, and reporting across platforms like Meta, YouTube, and TikTok. Analyze brand research data to deliver insights that shape global brand strategy and optimize campaign performance.
On-site · Montréal
The role involves experimenting with search and display ad campaigns across various platforms to optimize performance. Additionally, the analyst will develop optimization models and dashboards to analyze large datasets generated from these experiments.
