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LeadFull-timeData ScienceAIML
Salary Range
$119,340 - $161,460 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Staff Product Manager, AI Product to define and drive the strategy, roadmap, and execution for Airwallex’s next-generation AI-powered products. This high-impact, strategic role involves building intelligent automation and customer experiences that scale across regions and languages.
Key Responsibilities
- →Own the end-to-end product lifecycle for AI-powered features and platforms, from ideation to launch and ongoing optimization.
- →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 to enhance customer adoption, retention, and revenue generation.
- →Build and ship hands-on AI/ML-powered products, such as copilots, agents, chatbots, and recommendation systems.
- →Leverage AI-driven technologies and data-driven insights to innovate and improve user experience.
- →Lead the development of customer service and support automation to deliver intelligent automation across payments, onboarding, and support.
- →Ensure compliance, transparency, and responsible AI practices are embedded in all products.
- →Launch products across multiple regions and languages in a fast-paced, global environment.
- →Mentor and lead other product managers, with the opportunity to grow into a broader leadership role.
Requirements
- ✓7+ years of product management experience owning core product areas end-to-end for complex, multi-surface products.
- ✓Hands-on experience building and shipping AI/LLM-powered products, with deep technical fluency in modern ML systems.
- ✓Data-driven, growth-oriented problem solver with strong analytical rigor and a track record of running experiments.
- ✓Builder mindset, stakeholder management skills, and the ability to align engineering, data, design, operations, CS, and GTM partners around strategy, roadmap, and execution.
