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Senior Manager, Growth Marketing, Global Futures

Airwallex • US - San Francisco, San Francisco, California, United States

Job Description

About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 676,000 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 2,300 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 to see it in full. About the team The Marketing team at Airwallex drives brand awareness and customer engagement through innovative and strategic campaigns. We work to communicate the value of our financial solutions, attract new customers, and strengthen relationships with existing ones. By leveraging data-driven insights and creative strategies, we ensure Airwallex stands out in a competitive market. Our team is passionate about telling the Airwallex story and supporting the company's growth and success. What you'll do We're looking for a strategic, technically fluent, and hands-on marketing leader to own the future of AI innovation across the Global Growth Marketing organization. As the Senior Manager, Growth Marketing, Global Futures, you will define and operationalize the AI strategy and technology roadmap that powers the next generation of marketing performance. You'll lead the centralized evaluation, rollout, and enablement of AI and automation technologies across Performance Marketing, Creative, and Analytics, embedding intelligence and efficiency into every stage of the marketing lifecycle. You will partner closely with Engineering, IT, Legal, and cross-functional marketing teams to translate emerging technologies into measurable operational and revenue outcomes at global scale. This role is based in San Francisco. Responsibilities: Design and deploy agent-based workflows that can: analyze campaign performance (paid + SEO + Creative), generate insights and hypotheses, recommend and execute optimizations Create systems that continuously learn and improve from performance data Develop multi-step autonomous workflows (e.g., detect → diagnose → recommend → act) Build pipelines that automatically: Surface performance anomalies (CPA spikes, CTR drops, keyword decay), Identify growth opportunities (new keyword clusters, audience expansion) Automate reporting and insight generation across: Google Ads, Meta, SEO platforms Replace static dashboards with dynamic, queryable AI-driven insights Redesign core growth workflows to be: Faster (hours → minutes), less manual (reduce analyst dependency) Build tools that enable: Rapid campaign iteration, faster testing cycles (creative, keyword, landing pages) Eliminate bottlenecks in execution and analysis Connect data sources (ad platforms, analytics, CRM, SEO tools) Work with engineering to: Build scalable data pipelines, enable real-time or near-real-time decisioning Implement LLM-based systems for: Insight generation, natural language querying of performance data Partner with Growth, Product, and Marketing leadership to: Identify highest-leverage automation opportunities, prioritize use cases with measurable ROI Define success metrics (incremental lift, efficiency gains, cycle time reduction) Serve as the internal evangelist for AI and automation, fostering a culture of experimentation, technical curiosity, and operational excellence. Educate and enable marketing partners on AI best practices, tools, and testing frameworks. Collaborate with Data Scie

Job Reference ID: CF-176445 • Posted on CloudFrame Job Scanner