Top Tech Jobs & Startup Jobs

Provides legal and regulatory counsel to Airwallex’s global Yield investment product from design through launch and market expansion. Advises on cross-jurisdictional investment, wealth-management, licensing, broker-dealer, custodial, disclosure, and product-governance matters. Partners with Product, Compliance, Risk, Operations, Marketing, regulators, external counsel, and financial-services partners. Develops scalable legal playbooks, launch checklists, and governance processes while translating complex requirements into practical commercial solutions.

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.

Own and build Airwallex’s Americas Total Rewards program across compensation, benefits, and equity. Lead benchmarking, salary structures, pay cycles, benefits renewals, broker negotiations, equity administration, and IPO-readiness initiatives. Partner with global Total Rewards, People, Finance, Legal, Payroll, Talent Acquisition, and executive teams. Develop regional processes, communicate complex compensation topics, model costs, and influence decisions across the US, Canada, Brazil, and Mexico.

Lead technical direction of Airwallex's mobile platform across iOS and Android. Design and evolve core architecture, own shared libraries and CI/CD pipelines, improve security, reliability, performance and observability, manage mobile releases and on-call, drive cross-team initiatives, and mentor engineers while defining mobile best practices and developer experience.

Lead Growth Engineering by delivering scalable backend, frontend, event-driven, and AI-native platforms. Own technical planning, architecture, implementation, launches, and continuous improvement while partnering with Product, Design, Data Science, Marketing, and Sales. Mentor and develop engineers, establish strong engineering practices, and drive measurable outcomes through experimentation, personalization, automation, and data-informed prioritization.

Own the architecture and delivery of scalable backend systems supporting growth across acquisition, activation, conversion, retention, and expansion. Design distributed systems, experimentation platforms, event-driven architectures, and data pipelines. Build intelligent decision systems and personalized journeys using customer and product signals. Lead ambiguous cross-functional initiatives, improve reliability and observability, mentor engineers, and uphold secure, compliant engineering standards.

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.

Staff Data Scientist partnering with Growth, Marketing, Product, and Engineering teams to build data science solutions that drive customer acquisition, engagement, and retention. Responsibilities include predictive modeling, personalization, recommendation systems, LLM applications, incentive optimization, causal inference, marketing impact measurement, technical mentorship, and strategic leadership. The role requires deploying production machine learning systems and communicating analytical insights to senior stakeholders.

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.