Senior Product Manager, AI Risk & Onboarding

Compensation

The expected base pay ranges for this role are $160K – $230K, with additional compensation including equity and bonus.

About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses use us to run their financial operations or build and monetize financial products.

About the team

The Product team at Airwallex crafts customer-centric solutions that empower businesses to operate anywhere, anytime. We combine technical expertise with a deep understanding of our customers’ needs.

About the role

As the Senior Product Manager, AI Risk & Merchant Onboarding, you will shape the first and most important interactions that businesses have with Airwallex. You will own the strategy for creating a fast, intelligent and trusted onboarding experience.

Responsibilities

• Own the product strategy and roadmap for merchant onboarding, risk decisioning and related merchant experiences.
• Map and optimise the end-to-end journey from discovery and sign-up through verification, activation and product adoption.
• Build AI-powered capabilities that can interpret merchant business context, surface relevant signals and detect emerging risk patterns earlier.
• Partner with Engineering, Data Science and Risk teams to develop AI agents that identify compromised accounts, illegal or prohibited selling activity and other suspicious behaviour.
• Turn AI-generated insights into real-time actions through fraud and risk models.
• Design risk experiences that proactively protect Airwallex and its customers while minimising unnecessary friction for legitimate merchants.
• Develop intelligent payment-method recommendations that balance fraud risk, processing cost, payment conversion rate and merchant experience.
• Use data, analytics and customer research to identify onboarding and payment pain points, define success metrics and prioritise opportunities.
• Design and run experiments to improve onboarding UX, verification outcomes, activation and conversion.
• Establish clear feedback loops between product performance, model outcomes, operational review and merchant experience.
• Communicate product strategy, trade-offs and results clearly to technical and non-technical stakeholders.

What success looks like

• More legitimate merchants complete onboarding quickly and confidently.
• Risk signals are identified earlier, with faster and more accurate real-time responses.
• Fraud and abuse are reduced without introducing unnecessary friction or avoidable false positives.
• Payment-method recommendations improve the balance between risk, cost, conversion and merchant experience.
• Product decisions are increasingly informed by high-quality data, experimentation and AI-powered insight.

Requirements

• 5+ years of product management experience, with a track record of taking products from ideation through delivery and continuous optimisation.
• Experience owning product strategy, roadmap planning, product discovery and execution for customer-facing or platform products.
• Strong understanding of experimentation, analytics, user journeys and outcome-based product development.
• Experience working closely with Engineering, Data Science, Design, Risk, Compliance or Operations teams.
• Demonstrated ability to translate complex technical, data or risk concepts into simple product experiences and clear decisions.
• Exceptional communication and stakeholder-management skills.

Nice to have

• Experience in onboarding, fraud prevention, KYC/KYB, transaction monitoring, account security, payments or financial crime risk.
• Experience building or scaling AI/ML-powered products, decisioning systems, recommendation engines or agentic workflows.
• Understanding of how to use AI to discover merchant context, detect behavioural anomalies and support real-time risk decisions.
• Experience balancing risk, operational cost, payment conversion and customer experience in a financial product.