About the job
About Airwallex
Airwallex is a pioneering unified payments and financial platform tailored for global enterprises. With our innovative blend of proprietary infrastructure and state-of-the-art software, we empower over 200,000 businesses globally, including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN. Our fully integrated solutions allow clients to effectively manage business accounts, payments, spend management, treasury, and embedded finance on a worldwide scale.
Founded in Melbourne, we are proud to have assembled a team of over 2,000 of the brightest minds in technology, spread across 26 offices worldwide. Valued at US$8 billion, we are backed by top-tier investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital. At Airwallex, we are committed to shaping the future of global payments and finance. If you are eager to take on ambitious challenges in your career, we invite you to join us.
Attributes We Value
We seek out successful creators with entrepreneurial spirit who are driven to make a genuine impact, fast-track their learning, and take ownership of their work. You will bring robust expertise in your role, complemented by sharp analytical skills, and be motivated by our mission and operating principles. With a balance of speed and thoroughness, you will exercise good judgment while exploring ideas with curiosity.
You are collaborative and humble, capable of transforming innovative ideas into tangible products, and you possess a strong execution mindset. Utilizing AI, you will work efficiently to solve problems rapidly. At Airwallex, you will address complex, high-profile challenges alongside exceptional colleagues while advancing your career as we redefine global banking.
Engineering Manager, Data Knowledge Platform
Our Knowledge Platform team is central to our organization's data and AI strategy. We are constructing the foundational infrastructure that enables the entire company to harness data, AI, and ML to drive business outcomes. Our objective is to create platforms that streamline the entire data and AI/ML lifecycle while ensuring safety and governance. This encompasses managing our data infrastructure (Databricks, Spark, Kafka, etc.) and the technology required to deliver that data to our users (RAG, MCP, etc.), along with the platform to host and govern these AI/ML models.

