Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next.
About the team
Growth & Revenue Systems in Strategy & Operations is a new team focused on driving experimentation across marketing, sales, and product to accelerate growth, and innovating on core revenue systems (CRM, Marketing automation) to maximise effectiveness of our teams. We are a mixed group of colleagues spanning commercial, engineering, data, and marketing passionate about driving rapid impact. We leverage data insights, sharp problem-solving skills, and a deep understanding of the business to optimize processes, identify growth opportunities, and ensure Airwallex operates efficiently and effectively at scale.
What you'll do
We're looking for a Growth Manager to join our expanding Growth & Revenue Systems team. Reporting to the Head of Growth, you will own the narrative of how we grow. You'll work with Growth Data Science team to transform deep analytics into high-conviction decisions, build intelligence models, and spotlight the biggest levers across our funnel. Your work becomes the weekly pulse of Growth with clear KPIs, crisp insights, and actions that moce the business.
This role is based in Singapore.
Responsibilities:
- Own the growth metrics and weekly business reviews - track KPIs, spotlight drivers, and run the weekly update with the Head of Growth.
- Evolve our Customer 360 with Data Science - expand and enrich data features to sharpen our understanding of customers.
- Build customer intelligence models with Data Science - e.g., GP prediction, reward intent - that inform prioritization and go-to-market.
- Lead customer segmentation and ICP models with Data Science.
- Translate deep-dive analytics into growth plays - funnel, cohorts, retention, LTV/CAC, with clear recommendations and measurable outcomes.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
- 5+ years in high-growth businesses working in growth acceleration, go-to-market (GTM), sales operations, or business development.
- Exposure to revenue/sales operations in a B2B environment.
- Strong quantitative and analytical skills, with proficiency in Excel and data visualization tools (e.g., Tableau, Power BI); knowledge of SQL is a plus.
- Experience with CRM systems and a deep understanding of growth funnel, customer journey and sales process.
- Excellent communication skills, with the ability to present insights and recommendations to senior executives and cross-functional teams.
- Bachelor's degree.
Preferred qualifications:
- Previous experience in a top-tier management consulting firm, fintech, startups, or a dedicated growth function.
- Demonstrated experience running experiments and taking hypothesis-driven approaches to improve revenue or GTM efficiency.
- Familiarity with advanced analytics, financial modeling, and campaign performance monitoring.
- Experience partnering with data science teams on analytics or machine learning-related workstreams.
- Ability to thrive in ambiguity, adapt quickly, and take initiative in a dynamic environment.
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.
Airwallex San Francisco, California, USA Office
Airwallex San Francisco, US Office
188 Spear Street’s superior location is two blocks from the Embarcadero, the promenade running along the SF waterfront, and offers exceptional views and convenience through its easy access to BART, Muni, ferries, the Transbay Terminal, the Bay Bridge and all major freeways.
Sales





This isn’t just another sales role. This is your chance to build the future of global banking with a team that’s built to win. We give top performers the autonomy, the product, and the support to achieve uncapped success.
AI Engineering



Our SF AI Engineering team at Airwallex is building production-grade AI that automates the hardest parts of global finance — from payments and onboarding to reconciliation, bookkeeping, and tax. Sitting on top of our proprietary global payments infrastructure and massive real-time transaction datasets, we design and ship vertical AI systems — from LLM-powered copilots and agentic workflows to fine-tuned models — that reach customers quickly and at scale. We’re a small, senior, zero-ego group with high ownership: engineers work end to end from problem framing and experimentation through to deployment and evals, using the right tool for the job to turn deep AI work into visible, shipped impact.
Similar Jobs at Airwallex
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine











