Jobs at Airwallex

Own the full sales cycle for Airwallex’s fintech solutions, from prospecting and discovery through negotiation, closing, onboarding, and early customer success. Sell payments, cross-border payments, billing, and spend management to US SME and growth businesses. Generate pipeline, exceed sales targets, collaborate with internal teams, develop verticals, and improve sales practices.

Own the full sales cycle for travel-sector businesses, from prospecting through close. Build pipeline through targeted outreach, events, networking, and industry relationships; develop partnerships across travel sub-verticals; and collaborate with Legal, Finance, and Strategy. Help customers address cross-border payments, foreign exchange exposure, reconciliation, and fragmented payment flows using Airwallex solutions.

Build and scale Airwallex’s machine learning platform for risk and fraud decisioning. Responsibilities include designing data and model infrastructure, productionizing training and serving workflows, optimizing GPU-based training and inference, enabling experimentation, and partnering with engineers, data scientists, product managers, and risk specialists. The role is based in Seattle with regular office work.

Leads the Payments Platform engineering organization, owning strategy, architecture, roadmap, delivery, and operational health for global payment processing, routing, settlement, reconciliation, and partner integrations. Manages Engineering Managers and senior technical talent, guides scalable and reliable distributed-system architecture, and partners with Product, Commercial, Risk, Compliance, and regional engineering leaders to support growth and regulatory requirements.

Build and operate scalable observability platforms covering metrics, logs, traces, alerting, dashboards, and service health. Develop self-service tooling, improve incident detection and response, establish observability standards, and optimize reliability, performance, and cost across global cloud-native systems. Partner with engineering, infrastructure, SRE, security, and product teams while participating in design reviews, incident response, and post-incident learning. Mentor engineers and promote operational excellence.

Lead technical strategy and architecture for Growth Engineering platforms. Build scalable backend infrastructure, distributed services, real-time data systems, AI-native capabilities, and reliable automation workflows. Partner cross-functionally to solve ambiguous business problems, mentor engineers, and deliver high-impact solutions from design through production.

Design, build, deploy, and operate scalable backend services and platform capabilities for growth engineering. Develop distributed systems, APIs, event-driven architectures, real-time processing, AI-powered workflows, and intelligent decision systems. Own end-to-end technical delivery while ensuring reliability, security, observability, and performance. Collaborate with Product, Data Science, Marketing, Sales, and Engineering teams, solve ambiguous business problems, improve engineering quality, and mentor other engineers.

Leads Growth Engineering initiatives from architecture through launch, builds scalable backend and frontend systems, and develops high-performing engineering teams. Partners with Product, Design, Data Science, Marketing, and Sales to deliver experimentation, personalization, automation, and AI-native capabilities. Establishes engineering standards for reliability, security, observability, and performance while using customer insights and experimentation to drive measurable growth outcomes.

Build and own scalable, high-performance frontend experiences for growth, including websites, funnels, campaign platforms, personalized journeys, and AI-powered tools. Lead end-to-end delivery, optimize performance and conversion through experimentation, and collaborate with Product, Design, Marketing, Data Science, and Backend Engineering. Improve frontend architecture, reusable components, accessibility, SEO, and engineering quality while mentoring teammates and solving ambiguous business problems.

Provide employment law counsel across the Americas, advising on employee lifecycle matters, workplace investigations, disputes, litigation, contractor classification, cross-border work, compensation, benefits, and terminations. Develop employment policies, playbooks, templates, and manager guidance while coordinating external counsel and partnering with People, Legal, Privacy, and business teams in a regulated fintech environment.

Leads product legal support for embedded finance, lending, issuing, and payments products. Advises Product, Engineering, Sales, Risk, Compliance, and financial partners on U.S. and international payments regulations, licensing, AML, consumer finance, card-network rules, and BaaS requirements. Structures and negotiates financial partnership agreements, supports product launches across jurisdictions, develops legal playbooks, manages two lawyers, and serves as the U.S. legal lead for Embedded Finance and Lending.

Build and deploy predictive models, recommendation systems, LLM applications, incentive optimization frameworks, and causal inference models for customer growth. Partner cross-functionally to improve acquisition, engagement, retention, and expansion. Measure marketing impact, guide investment decisions, develop AI analytics and decision systems, and provide technical leadership and mentorship across data science initiatives.

Design and maintain scalable data models, batch and streaming ETL pipelines, and end-to-end data workflows supporting business intelligence, machine learning, and operations. Ensure data quality, consistency, governance, traceability, and reliable delivery across distributed systems. Partner with business teams, platform engineers, and product managers to translate requirements into documented solutions and resolve data issues. The role is based in Seattle with three days per week in the office.

Lead the strategy, architecture, development, and operation of company-wide data and AI platforms. Drive scalable data platform solutions, technical direction, architecture standards, multi-geographical pipelines, ETL frameworks, metrics stores, infrastructure, and data security. Mentor engineers and scientists, influence technology roadmaps, collaborate across teams, and promote technical excellence. The role also involves designing modern lakehouse systems, evaluating technologies, and building reliable high-performance services and frameworks.

Design, build, and operate autonomous AI agents that automate SRE, DevOps, and DBA workflows. Develop safe agent architectures with planning, tool use, error recovery, evaluation, auditability, and human escalation. Integrate agents with Kubernetes, Terraform, cloud APIs, databases, monitoring platforms, and CI/CD systems. Partner with infrastructure teams to identify automation opportunities and shape Airwallex’s infrastructure AI strategy.

Designs, operates, and scales Kubernetes-based data and AI infrastructure across public cloud environments. Builds platforms for Kafka, Spark, Flink, AI gateways, model serving, traffic management, observability, and self-service deployment. Partners with engineering teams to improve reliability, scalability, performance, cost efficiency, and operational simplicity of distributed systems.

Architect and build high-performance distributed infrastructure for batch and streaming data across global regions. Optimize state management, checkpointing, JVM performance, and exactly-once processing. Develop AI infrastructure including vector indexing, agentic workflows, and real-time data streaming. Own the full software development lifecycle, contribute to shared tooling and SDKs, and mentor engineers through technical leadership and design reviews.

Develop and enhance payment products and transaction systems using Java and Kotlin. Design and build microservice components, evaluate emerging technologies, and recommend architectural improvements. Mentor less-experienced engineers on software practices and coding standards. The role focuses on highly available, distributed, high-concurrency risk and payment platforms, including fraud detection and risk decisioning infrastructure.

Design and build automation, observability, and AI-driven tooling for Airwallex's Postgres, Redis, and ClickHouse infrastructure. Create self-service DB platforms, secure AI-agent interfaces, and reliability automation. Drive database best practices, participate in on-call rotations, and collaborate with product teams on performance, schema design, and operational excellence.

Lead and scale engineering teams building Airwallex's global Payments Platform. Define architecture and roadmap for payment processing, routing, settlement, reconciliation, and partner integrations. Drive reliability, observability, security, and developer productivity. Manage Engineering Managers, set OKRs, coordinate cross-functionally with Product, Risk, Compliance, and regional teams to deliver high-quality, business-aligned outcomes.