About the job
Join Airwallex as an Engineering Manager for the AI Platform
At Airwallex, we are revolutionizing the payment and financial landscape for businesses worldwide. Our unique blend of proprietary infrastructure and innovative software empowers over 200,000 businesses globally, including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN. Our fully integrated solutions facilitate everything from business accounts, payments, and spend management to treasury and embedded finance on a global scale.
Founded in Melbourne, we are a vibrant team of over 2,000 innovative professionals across 26 global offices. Valued at $8 billion and supported by top-tier investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of building the future of global payments and finance. If you are ready to take on the most ambitious challenge of your career, we invite you to join us.
Attributes We Value
We seek builders with an entrepreneurial spirit who desire meaningful impact, rapid learning, and true ownership. You should possess strong expertise in your field and be driven by our mission and operating principles. Your ability to make informed decisions quickly, coupled with a deep curiosity, will enable you to thrive in our fast-paced environment. Collaboration and humility are essential traits as you transform innovative ideas into tangible products while efficiently solving problems. Here, you will confront complex challenges alongside exceptional teammates and advance your career in shaping the future of global banking.
About the Team
We are looking for a skilled and driven Engineering Manager to lead our AI Platform team. This team is dedicated to transforming Airwallex into an AI-driven organization, harnessing advanced AI and machine learning technologies to foster innovation, enhance operational efficiency, and elevate customer experience.
Key Responsibilities
Strategy & Vision: Formulate and implement the strategy for the AI team, ensuring alignment with Airwallex's business goals while staying ahead of industry trends to maintain our leadership in AI innovation.
Team Leadership: Build, mentor, and guide a high-performing team of software engineers and data scientists, fostering a culture of innovation and excellence.
Project Management: Oversee the execution of AI projects, ensuring timely delivery and alignment with business objectives.

