Overview
Lead a team of engineers building the AI-native platform that powers customer acquisition, activation, conversion, retention, and expansion at Airwallex.
What you'll do
- Lead engineering execution, owning the delivery of complex Growth initiatives from technical planning and architecture through implementation, launch, and continuous improvement.
- Drive technical direction, guiding the design of scalable backend services, frontend applications, event-driven systems, and AI-native platform capabilities that enable experimentation, personalization, and growth automation.
- Build and develop a high-performing engineering team, providing technical mentorship, coaching, clear expectations, and a culture of ownership, collaboration, and engineering excellence.
- Partner across functions, working closely with Product, Design, Data Science, Marketing, Sales, and other engineering teams to translate ambiguous business problems into actionable roadmaps and technical solutions.
- Drive measurable business outcomes, leveraging experimentation, customer insights, and data to prioritize high-impact opportunities, accelerate iteration, and improve growth performance.
- Raise the engineering bar, establishing strong practices for system design, code quality, performance, reliability, security, observability, and operational excellence.
What you'll need
- 8+ years of professional software engineering experience, including experience leading engineering teams or complex technical initiatives
- Bachelor's degree in Computer Science, Engineering, or a related field
- Strong technical expertise in backend, frontend, or full-stack engineering, with experience designing, building, and operating scalable production systems using technologies such as Python, Java/Kotlin, React, or TypeScript
- Proven technical leadership and execution skills, with a track record of leading complex engineering projects, making sound architectural decisions, managing technical tradeoffs, and delivering high-quality solutions
- Demonstrated ability to lead and develop engineers, through mentorship, technical guidance, effective delegation, and fostering a culture of accountability and continuous improvement
- Strong ownership, product judgment, and cross-functional collaboration, with the ability to navigate ambiguity, influence stakeholders, prioritize effectively, and translate business objectives into measurable engineering outcomes
Nice to have
- Experience building growth platforms, experimentation systems, customer segmentation engines, marketing automation, or product-led growth experiences
- Experience developing AI-powered applications or agentic workflows, including LLM integration, tool orchestration, evaluation, and production observability
- Experience with distributed systems, event-driven architectures, data pipelines, and cloud infrastructure such as AWS or GCP
- Experience leading cross-functional engineering initiatives involving Product, Design, Data Science, Marketing, Sales, or Revenue Operations
- Experience establishing engineering processes, improving delivery predictability, and scaling team execution in fast-moving environments
- Experience in high-growth technology companies, fintech, payments, or regulated environments
Details
- Location: San Francisco office, US
- Work mode: in office three days a week
- Works across distributed teams in APAC, EMEA, and the US
Read the full description and apply on the company’s own careers page.