Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 676,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.
The KYC team focuses on driving operational excellence by automating and optimizing processes for Airwallex’s internal ops teams. We build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of our internal operations.
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What you’ll doAs an Engineering Lead / Manager in the KYC team, you will play a key role in developing and optimizing critical systems and tools to improve user onboarding, automate manual operations, and enhance risk detection. You will work closely with product, operations, and engineering peers to deliver impactful technical solutions at scale. We are looking for someone with the potential to mentor and guide others as the team grows.
This role is based in "Singapore".
1. Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience.
2. Develop and implement AI and data-driven solutions to predict user risks and prevent fraudulent/malicious activities.
3. Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions.
4. Participate in architectural discussions and code reviews, contributing to high-quality engineering standards.
5. Continuously improve system reliability, performance, and scalability.
6. Serve as a technical role model for junior team members and support their technical growth when needed.
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
1. Bachelor’s degree in Computer Science or related fields.
2. At least 5 + years of software engineering experience.
3. Strong ability to quickly understand complex business processes and propose effective technical solutions.
4. Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders.
5. Solid software engineering skills, with experience in backend or frontend development using Kotlin/Java/React/Type script.
6. Hands-on experience in building scalable, robust automation or workflow systems.
7. Self-driven and proactive in identifying problems and driving improvements.
1. At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead.
2. Experience applying AI or machine learning techniques to solve real-world problems, especially in automation or risk detection scenarios.
3. Familiarity with commonly used automation and workflow tools in cloud environments (e.g., AWS, GCP, Kubernetes, CI/CD pipelines).
4. Experience mentoring or guiding junior engineers in a technical capacity.
5. Previous experience working in fintech, payments, or a fast-paced startup environment.
6. Familiarity with compliance, risk control, or onboarding related business domains is a plus.
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Equal opportunityAirwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Airwallex San Francisco, California, USA Office
Airwallex San Francisco, US Office
188 Spear Street’s superior location is two blocks from the Embarcadero, the promenade running along the SF waterfront, and offers exceptional views and convenience through its easy access to BART, Muni, ferries, the Transbay Terminal, the Bay Bridge and all major freeways.
Sales





This is not just another sales role. It is a chance to sell a proven global platform, shape how we win across the Americas, and do career-defining work. You get the product, the territory, and the support to build real momentum.
AI Engineering



Our SF AI Engineering team at Airwallex is building production-grade AI that automates the hardest parts of global finance — from payments and onboarding to reconciliation, bookkeeping, and tax. Sitting on top of our proprietary global payments infrastructure and massive real-time transaction datasets, we design and ship vertical AI systems — from LLM-powered copilots and agentic workflows to fine-tuned models — that reach customers quickly and at scale. We’re a small, senior, zero-ego group with high ownership: engineers work end to end from problem framing and experimentation through to deployment and evals, using the right tool for the job to turn deep AI work into visible, shipped impact.
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