Engineering Lead, Growth

Airwallex • Seattle, WA

3d • $147,000 - $280,000 • Hybrid

About The Position

The Engineering Lead will lead a team of engineers building and scaling platforms and experiences that power Growth at Airwallex. The role combines technical leadership, hands-on problem-solving, and execution to turn growth opportunities into reliable products and measurable business impact. Growth Engineering is developing an AI-native platform for customer acquisition, activation, conversion, retention, and expansion, including scalable infrastructure, intelligent decision systems, and automation connecting product, sales, and marketing.

The role owns complex Growth initiatives from technical planning and architecture through implementation, launch, and improvement. It guides the direction of backend services, frontend applications, event-driven systems, and AI-native capabilities for experimentation, personalization, and growth automation. The Engineering Lead also develops engineers, collaborates with cross-functional partners, drives outcomes using experimentation and data, and establishes strong engineering practices for quality, performance, reliability, security, observability, and operational excellence.

The team is building a unified AI-native growth system across product, sales, and marketing. Its work includes high-traffic platforms, experimentation frameworks, and decision systems that convert customer signals into personalized journeys, next-best actions, and measurable value. It spans tools that increase the leverage of growth teams and agentic workflows for researching opportunities, launching and optimizing campaigns, orchestrating customer journeys, and measuring outcomes within defined strategies and guardrails. In the US, the role works from the Seattle office three days a week.

Requirements

• 8+ years of professional software engineering experience, including experience leading engineering teams or complex technical initiatives.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong backend, frontend, or full-stack expertise and experience designing, building, and operating scalable production systems using technologies such as Python, Java/Kotlin, React, or TypeScript.
• Track record of leading complex engineering projects, making architectural decisions, managing technical tradeoffs, and delivering high-quality solutions.
• Ability to lead and develop engineers through mentorship, technical guidance, effective delegation, and fostering accountability and continuous improvement.
• Strong ownership, product judgment, and cross-functional collaboration, including the ability to navigate ambiguity, influence stakeholders, prioritize, and translate business objectives into measurable engineering outcomes.

Nice To Haves

• Experience building growth platforms, experimentation systems, customer segmentation engines, marketing automation, or product-led growth experiences.
• Experience developing AI-powered applications or agentic workflows, including LLM integration, tool orchestration, evaluation, and production observability.
• Experience with distributed systems, event-driven architectures, data pipelines, and cloud infrastructure such as AWS or GCP.
• Experience leading cross-functional engineering initiatives involving Product, Design, Data Science, Marketing, Sales, or Revenue Operations.
• Experience establishing engineering processes, improving delivery predictability, and scaling team execution in fast-moving environments.
• Experience in high-growth technology companies, fintech, payments, or regulated environments.

Responsibilities

• Lead engineering execution for complex Growth initiatives, from technical planning and architecture through implementation, launch, and continuous improvement.
• Drive technical direction for scalable backend services, frontend applications, event-driven systems, and AI-native platform capabilities.
• Build and develop a high-performing engineering team through technical mentorship, coaching, clear expectations, and a culture of ownership and collaboration.
• Partner with Product, Design, Data Science, Marketing, Sales, and other engineering teams to turn ambiguous business problems into roadmaps and technical solutions.
• Use experimentation, customer insights, and data to prioritize opportunities, accelerate iteration, and improve growth performance.
• Establish strong practices for system design, code quality, performance, reliability, security, observability, and operational excellence.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager