Product Lead, AI Growth

About the company

Airwallex is the only unified payments and financial platform for global businesses. Powered by proprietary infrastructure and software, we empower over 250,000 businesses worldwide—including Brex, Rippling, Navan, Qantas, SHEIN, and many more—with fully integrated solutions to manage business accounts, payments, spend management, treasury, and embedded finance at a global scale. Founded in Melbourne, we have a team of over 2,300 innovators across 27 offices globally. Valued at US$11 billion and backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is building the global payments and financial platform of the future.

Attributes we value

We hire builders with founder-like energy who thrive on impact, accelerated learning, and ownership. You bring strong role-related expertise, sharp thinking, and a mission-driven mindset. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles while balancing speed and rigor. You’re humble, collaborative, and turn zero-to-one ideas into real products with end-to-end execution. You leverage AI to work smarter and solve problems faster. Here, you’ll tackle complex, high-visibility challenges alongside exceptional teammates and grow your career as we shape the future of global banking.

Responsibilities

• Own the end-to-end product lifecycle for AI-powered features and platforms, from ideation to launch and ongoing optimization.
• Mentor and lead a team of high-impact product managers.
• Define and champion the product vision and roadmap, balancing long-term innovation with short-term business needs.
• Partner with engineering, data science, design, compliance, and commercial teams to deliver scalable, secure, and intuitive AI solutions.
• Drive Product-Led Growth (PLG) initiatives, including in-product nudges, rewards, cross-sell systems, and lifecycle automation to enhance customer adoption, retention, and revenue generation.
• Build and ship hands-on AI/ML-powered products (e.g., copilots, agents, chatbots, recommendation systems), not just integrate models into existing flows.
• Leverage AI-driven technologies and data-driven insights to innovate, improve user experience, and reduce operational friction.
• Lead the development of customer service and support automation (e.g., bots, self-serve flows, deflection journeys) to deliver intelligent automation across payments, onboarding, and support.
• Ensure compliance, transparency, and responsible AI practices are embedded in all products, especially in regulated domains like payments, treasury, and cards.
• Launch products across multiple regions and languages in a fast-paced, global environment, collaborating with local teams to ensure market fit and regulatory compliance.

Requirements

• 7+ years of product management experience owning core product areas end-to-end for complex, multi-surface products (e.g., platforms, marketplaces, productivity tools), including 0→1 or early-stage products in high-ambiguity environments with a clear builder mindset.
• Hands-on experience building and shipping AI/LLM-powered products, with deep technical fluency in how modern ML systems are trained, evaluated, deployed, and monitored.
• Data-driven, growth-oriented problem solver with strong analytical rigor (dashboards, SQL, or product analytics tools) and a track record of running experiments (e.g., A/B tests) to improve activation, adoption, or retention.
• Builder mindset with strong stakeholder management skills, able to align engineering, data, design, operations, CS, and GTM partners around strategy, roadmap, and execution.

Preferred qualifications

• Experience in fintech, payments, treasury, cards, or B2B financial operations, including working within compliance/risk/role-based access constraints.
• Prior work on growth, lifecycle, or PLG products (e.g., in-product nudges, rewards, cross-sell systems, lifecycle automation).
• Technical background or prior role in AI/ML, data science, or engineering.
• Experience building customer service/support automation (e.g., bots, self-serve flows, deflection journeys).
• Experience launching products across multiple regions and languages in a fast-paced, global environment.

Pay

Compensation range: $190K - $270K.