Engineering Manager, Data Knowledge Platform

About the role

The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models. In 2026, our team's overarching mission is to evolve our full data ecosystem-encompassing both platform and models-into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making.

Responsibilities

• This role is based in San Francisco.
• Provide visionary technical leadership and define a clear 1-3 year strategic roadmap for the Realtime Data Platform.
• Lead the multi-year effort to modernize our core data platform, introducing real-time analytical processing at petabyte scale.
• Partner with product teams to enable new data-driven features, such as AI-powered applications or real-time dashboards, by ensuring the underlying platform capabilities are in place.
• Successfully scale and structure the engineering teams, including hiring new talent and mentoring managers and senior individual contributors.
• Cultivate and maintain strong relationships with product and other engineering teams, serving as a trusted technical advisor on all things Data and AI.

Requirements

• We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory.
• Minimum qualification:
• A minimum of 8 years of experience in data or software engineering, with at least 3 years in a leadership or management role.
• Proven experience successfully managing and scaling an engineering team of 10+ people, including managers and senior individual contributors.
• Demonstrated ability to define and execute a technical strategy that led to a significant business outcome or operational improvement.
• Strong command of the data and software engineering domains, with a focus on architecture and strategy.
• Deep understanding of distributed data processing technologies (e.g., Apache Spark, Databricks) and event streaming (e.g., Kafka).
• Solid knowledge of modern data storage and serving technologies, such as CubeJS, ElasticSearch, and Clic

Benefits

Additional Information

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles . You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next.

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