Job description

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 2,700 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 our operating principles airwallex.com to see it in full. WHAT YOU'LL DO As a Product Lead, Growth you will define and drive the strategy, roadmap, and execution for Airwallex’s next-generation AI-powered products. You will work at the intersection of fintech, AI/ML, and global financial operations, building intelligent automation and customer experiences that scale across regions and languages. This is a high-impact, strategic role with the opportunity to shape the future of global payments, treasury, cards, and B2B financial operations. 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. Minimum qualifications: - 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, 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. 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 airwallex.com email address. Please apply only through careers.airwallex.com 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.

Requirements

Must-haves

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.
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.
Builder mindset, stakeholder management skills, able to align engineering, data, design, operations, CS, and GTM partners around strategy, roadmap, and execution.

Nice-to-haves

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.
APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS

Application prep

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aimlllmsql

Platform: ashby
Effort: quick

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