This role involves leading a technical team to enhance the scalability, quality, and efficiency of data and machine learning processes. The engineer will design and build tools, libraries, pipelines, and platforms to support Data Science and Business teams in launching experiments in production. The position requires end-to-end ownership of systems to enable rapid production deployment. The team focuses on processing big data to help validate strategic decisions and react to a fast-changing environment.

This role involves managing SPX's daily supply chain planning by forecasting demand using big data models and managing supply and capacity across teams. The position requires developing insights and strategies for the SPX Operations Team to solve problems related to supply chain planning, optimization, human resources, and cost. Additionally, the role entails managing cross-functional teams to ensure the stable growth of the SPX supply chain.

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:** In Agoda’s Engineering department, we build the scalable and fault-tolerant systems. Our systems cover all major areas of our business: website, mobile apps, affiliate apis, inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, finance and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD, experimentation and advanced testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like React, Redux state management, Javascript, Kotlin, Scala, data technologies like Kafka, Aerospike and Big Data, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether you’re building new projects like Flights and Packages or innovating on the latest fintech idea or reimagining our existing business, you’ll make a big impact as part of our Engineering team. **The Opportunity:** The Senior Engineering Manager role at Agoda is one of the most significant and challenging roles in Technology. The right candidate has both deep technical knowledge and exhibits extremely strong leadership and people development skills. They should also have experience leading large engineering teams and managing managers. **In this Role, you’ll get to:** * Manage large engineering teams * Directly manage engineering managers and star engineers. * Provide technical input into new business ideas * Work with senior leadership up to C-level * Work and drive initiatives outside of your core team * Build and guide the technical roadmap for your area * Take ownership of major projects that are strategic to Agoda. * It’s important to have a love of engineering and a passion for building things elegantly and at scale. Staying in touch with where the industry is going is crucial, and it’s important to have strong opinions about how systems should be architected, engineered, and maintained. * Developing people – Despite our investment and belief in technology, people are still our greatest asset. The right candidate will have a keen interest in developing people: inspiring those around them so they can achieve their potential. Being able to bring A-players such as yourself from outside and integrating them into the business will also be important. **What you’ll Need to Succeed:** * Experience managing large engineering teams (>25 people) * Experience hiring and managing engineering managers * Experience developing future engineering managers from within the company * Experience rapidly growing a team * Experience communicating to C-level * At least 5 years of experience managing engineering teams, 10+ years of experience in software engineering. * Demonstrable experience as a system owner with operational responsibility * Able to operate with autonomously: making decisions, setting KPIs, with a strong sense of ownership * Extremely proficient in at least one programming language (React, Javascript, Kotlin, Scala, Java, C#) * Knowledge in scale, microservices and clean architecture. * A focus on velocity and quality, along with the right engineering metrics to guide and improve these. * Excellent people management and communication skills. * Minimum a B.S. in Computer Science or quantitative field; **It’s great if you have many of these:** * Proficiency in range of backend programming languages. * Experience in data engineering * Have experience managing in a data driven company with experience analyzing and working with Big Data * A key player at an Internet company that is at scale with large numbers of users and transactions per second * Worked on global projects serving world markets with distributed data centers. * Experience in Fintech / Financial Systems

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. The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You’ll Get to * Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. * Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. * Work with developers and a variety of business owners to deliver daily results with the best quality. * Research discover and harness new ideas that can make a difference What You’ll Need to Succeed * 4+ years hands-on data science experience. * Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. * Significant proficiency in SQL and languages like Python, PySpark and/or Scala. * Can lead, work independently as well as play a key role in a team. * Good communication and interpersonal skills for working in a multicultural work environment. It’s Great if You Have * PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields * Experience in NLP, image processing and/or recommendation systems * Hands on experience in data engineering, working with big data framework like Spark/Hadoop * Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

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:** In Agoda’s Engineering department, we build the scalable and fault-tolerant systems. Our systems cover all major areas of our business: website, mobile apps, affiliate apis, inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, finance and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD, experimentation and advanced testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like React, Redux state management, Javascript, Kotlin, Scala, data technologies like Kafka, Aerospike and Big Data, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or innovating on the latest fintech idea or reimagining our existing business, you’ll make a big impact as part of our Engineering team. ### The Opportunity: As a Senior Engineering Manager at Agoda, you will lead multiple teams or a large engineering organization, driving technical direction, organizational scale, and business impact. Unlike the Engineering Manager role, this position focuses more on leading managers, shaping strategy, and driving cross-team execution. This role also offers the opportunity to lead teams working on fintech-related platforms and transaction-heavy systems, including areas connected to payments, financial operations, and other business-critical services where scalability, resilience, security, and reliability are essential. ### In this Role, you’ll get to: * Lead multiple engineering teams or a large organization. * Manage Engineering Managers, senior engineers, and technical leaders. * Drive strategic, cross-team initiatives and major engineering programs. * Set the technical roadmap and align it with business goals. * Partner with senior leadership, including Directors, VPs, and C-level stakeholders. * Develop engineering leaders through coaching, mentoring, and performance management. * Hire and scale high-performing teams and leadership talent. * Strengthen engineering culture through quality, ownership, and data-driven decisions. * Drive organizational excellence across backend, platform, data, and fintech-related engineering domains. * Oversee the delivery of scalable, reliable, and secure systems that support high-volume, business-critical, and transaction-intensive workloads. **What you’ll Need to Succeed:** * Experience managing large engineering teams (>25 people) * Experience hiring and managing engineering managers * Experience developing future engineering managers from within the company * Experience rapidly growing a team * Experience communicating to C-level * At least 5 years of experience managing engineering teams, 10+ years of experience in software engineering. * Demonstrable experience as a system owner with operational responsibility * Able to operate with autonomously: making decisions, setting KPIs, with a strong sense of ownership * Extremely proficient in at least one programming language (React, Javascript, Kotlin, Scala, Java, C#) * Knowledge in scale, microservices and clean architecture. * A focus on velocity and quality, along with the right engineering metrics to guide and improve these. * Excellent people management and communication skills. * Minimum a B.S. in Computer Science or quantitative field; **It’s great if you have many of these:** * Proficiency in range of backend programming languages. * Experience in data engineering * Have experience managing in a data driven company with experience analyzing and working with Big Data * A key player at an Internet company that is at scale with large numbers of users and transactions per second * Worked on global projects serving world markets with distributed data centers. * Experience in Fintech / Financial Systems