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.
What you’ll do
You’ll work directly with startups, founders, and strategic partners to help them build on Airwallex. This role blends hands-on integration work with demo engineering — you’ll build polished reference implementations independently, while also working side-by-side with partners to co-create integrations and applications that help them get started and build internal support for working with Airwallex.
A key part of the role is turning these engagements into high-quality reference builds and case studies that can be leveraged more broadly. You’ll identify patterns across this work, develop reusable approaches, and feed real-world insights back to Product and Engineering teams.
Responsibilities
Work directly with startups, founders, and strategic partners to design and deliver working integrations and demos on tight timelines.
Build polished reference implementations on your own, while also partnering directly with external teams to co-create integrations and applications that help them ship and gain internal buy-in for Airwallex.
Serve as a technical lead for external builder engagements, helping teams navigate our platform and make sound architectural decisions.
Identify patterns across partner integrations and proactively create playbooks, templates, and reusable approaches that improve speed and consistency.
Capture and synthesize feedback from partner work, and collaborate with Product Managers, Engineering Managers, and API owners to influence priorities and improvements.
Contribute to how the team operates by helping define processes, raising execution quality, and supporting others who work with partners and startups.
Who you are
5+ years of experience in a technical, partner- or customer-facing engineering role (Solutions Engineer, Solutions Architect, Developer Relations, or similar).
Strong hands-on ability to build both functional integrations and high-quality demos/reference implementations.
Proven ability to deliver complex technical work quickly while maintaining high quality.
Strong at identifying patterns and turning one-off work into scalable approaches (playbooks, templates, or processes).
Comfortable operating with ambiguity and driving outcomes with limited structure.
Effective at influencing cross-functional stakeholders through clear communication and credible technical insight.
Experience working with startups or external ecosystems is strongly preferred.
Preferred qualifications
Background in payments, fintech infrastructure, or developer platforms.
Experience with AI agents, programmable workflows, or similar emerging use cases.
Track record of building demos or reference implementations that were adopted more broadly.
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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