Airwallex
Partner Integrations Manager, Agentic
- Employment type
- Full-time
- Workplace type
- Hybrid
- Location
- US - San Francisco
- Published
- Aug 12, 2026
- Last checked
- Oct 26, 2026
About this role
ABOUT AIRWALLEX
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 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 2,700 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 https://www.airwallex.com/en-us/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.