Staff Product Manager (0-1 Billing)

requirements. Leverage AI/ML insights to optimize billing processes (e.g., automated invoice categorization, payment reconciliation, fraud prevention, churn prediction, and personalized billing experiences). Collaborate closely with engineering, design, data science, and commercial teams to deliver scalable global billing and payment products that can handle increased adoption, transaction volume, and complexity while maintaining reliability and compliance. Inform product strategy by deeply understanding customer billing needs, payment flows, target markets, the competitive fintech landscape, and emerging AI and payments technologies. Rapidly iterate on new billing features (e.g., subscription management, smart invoicing, flexible pricing models) and AI-powered enhancements based on user feedback and data. Manage and mentor a high-performing team of Product Managers, fostering a culture of innovation, experimentation, and responsible AI adoption in fintech, payments, and billing. Minimum

Qualifications 5–10 years of experience in Product Management, with exposure to payments, billing, invoicing, or financial services. Proven track record of taking products from ideation to delivery at scale, ideally in global payments, billing platforms, or digital wallets. Experience building or managing billing systems (subscription billing, invoicing, automated reconciliation, recurring payments). Strong ability to balance long-term product vision with short-term growth and execution needs. Comfortable working in data-driven, cross-functional teams, leveraging analytics or AI-powered billing tools to guide decisions. Flexibility to work across multiple time zones. Exceptional communication skills, able to articulate complex billing, payments, and AI product strategies to both technical and non-technical audiences. Preferred

Qualifications Experience in building end-user experiences in invoicing, subscription billing, or merchant payment solutions, ideally with AI-powered automation. Background in hyper-growth startup environments, fintech, or software engineering. Experience collaborating with AI/ML engineers on billing and payments use cases such as fraud detection, automated reconciliation, invoice categorization, and revenue recognition. Bachelor’s degree in Computer Science, Engineering, Data Science, Finance, or a related field is strongly preferred. 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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