Airwallex

Staff Software Engineer - Growth

San Francisco, California, United States · Hybrid · FullTime

USD 163,000–279,000/year

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerAirwallex
  • LocationSan Francisco, California, United States
  • Work styleHybrid
  • Employment typeFullTime
  • Employer posted
  • Salary (as stated by the employer)USD 163,000 – 279,000 per year

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 2,300 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 ouroperating principles to see it in full.

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How you'll make impact

Airwallex is building a unified, AI-native growth system across product, sales, and marketing. You'll own the backend foundations that turn customer and product signals into measurable growth across acquisition, activation, conversion, retention, and expansion.

Own the architecture and delivery of scalable backend systems that power Airwallex's growth initiatives across acquisition, activation, conversion, retention, and expansion.

Design and evolve high-throughput, low-latency, highly available distributed systems, including microservices, event-driven architectures, experimentation platforms, and data pipelines.

Turn customer, product, lifecycle, behavioural, and intent signals into reliable data products, intelligent decision systems, personalised journeys, and next-best actions.

Partner closely with Product, Data Science, Frontend, Design, Marketing, and other Engineering teams to translate ambiguous business problems into secure, measurable technical solutions.

Raise the technical bar through architectural reviews, code reviews, mentoring, observability, resilient service design, and pragmatic engineering standards.

Build the foundations for rapid experimentation, feature flags, performance monitoring, and AI-native growth workflows while protecting customer data and meeting regulatory expectations.

Drive complex initiatives from problem definition through production operation, making sound technical decisions with a high degree of autonomy.

You'll work from our Seattle office three days a week.

What we're looking for

Essentials

Significant experience designing, building, and operating production backend systems, with strong ownership from technical design through reliability and ongoing improvement.

Deep understanding of computer science fundamentals, object-oriented programming, distributed systems, domain-driven design, and event-driven architectures.

Strong experience with high-throughput, low-latency, highly available services and systems.

Strong proficiency in Java, Kotlin, or a comparable backend language, with the ability to make sound choices across service design and implementation.

Experience with modern engineering practices, including continuous integration, automated testing, code review, and quality engineering.

Experience working with cloud infrastructure and containerised deployments, such as GCP or AWS, Docker, and Kubernetes.

Experience with observability and production operations, including tools such as Splunk, Grafana, or Prometheus.

A track record of leading ambiguous, cross-functional technical initiatives and delivering measurable outcomes.

Strong communication skills and the ability to collaborate effectively with Product, Data Science, Design, Marketing, and Engineering partners.

Preferred

Experience with JVM-based development using Java or Kotlin and frameworks such as Spring or Spring Boot.

Experience building experimentation platforms, feature-flag systems, growth infrastructure, customer segmentation, or analytics products.

Experience solving go-to-market or growth operations problems end to end.

Knowledge of data warehousing, event pipelines, lifecycle systems, and analytics tooling.

Experience building internal or customer-facing products that use AI or large language models.

Experience in fintech, payments, or another regulated environment.

You'll thrive here if

You're comfortable owning the roadmap yourself.

You're comfortable making decisions with incomplete information and moving quickly anyway.

You hold yourself to a high standard even when no one is watching. Quality and accountability aren't external expectations, they're internal ones.

You know when to align and when to just decide. Collaboration isn't a way to avoid accountability.

You come to the table with a point of view, not just a problem.

Learn more about your team

Growth at Airwallex is building a unified, AI-native growth system across product, sales, and marketing. Rather than applying AI to isolated tasks, we use customer context, machine learning, automation, and continuous learning to transform how Airwallex acquires, activates, converts, retains, and expands customers.

You’ll build high-traffic platforms, experimentation frameworks, and intelligent decision systems that turn signals—such as company profile, product usage, lifecycle stage, behavior, and intent—into personalized journeys, next-best actions, and measurable incremental value.

The work spans both human + AI and autonomous operating models: AI-native tools that increase the leverage of growth teams, alongside agentic workflows that can research opportunities, launch and optimize campaigns, orchestrate customer journeys, and measure outcomes within clear strategies and guardrails.

The challenge is to combine consumer-technology speed with the precision, trust, and regulatory complexity of global B2B finance. If you enjoy owning ambiguous problems end to end, prototyping quickly, measuring real business impact, and using every outcome to improve the next decision, you’ll help define how an AI-native global financial platform grows.

Applicant Safety Policy: Fraud and Third-Party Recruiters

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 opportunity

Airwallex 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.

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  • USD a year, after annualising120,000–465,000 (114 listings, 18 employers)

At a glance

  • Work styleHybrid
  • Employment typeFullTime
  • SeniorityLead / Principal
  • Salary (as stated by the employer)USD 163,000–279,000 per year
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

AWS GCP Kubernetes Docker Java Kotlin Machine learning Go-to-market

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