Airwallex

Engineering Manager, Growth

Airwallex1 months ago
Location

US - San Francisco

Type

Full Time

Salary

USD 400,000 – 550,000

Level

Manager

Role

Engineering Manager

Posted

Jan 21, 2026

Full TimeManager

The role

Summary

Airwallex is seeking an Engineering Manager for their Growth team in San Francisco to lead user acquisition and market expansion initiatives. This role combines hands-on technical leadership with team management, requiring 8+ years of software engineering experience and 2+ years of team management experience. The position focuses on building scalable architectures, A/B testing frameworks, and data-driven growth features for a global fintech platform valued at $8 billion.

What you'll do

Technical Leadership: Hands-on design, implementation, and delivery of growth features for user acquisition and market expansion
Product Collaboration: Work closely with Product Managers to analyze requirements and produce technical solutions and execution plans
Architecture Review: Analyze and validate technical designs for software functions from team members
Code Quality Management: Review code from team members and ensure adherence to engineering standards and best practices
Product Roadmap Execution: Engage with Product Managers to build backlogs that contribute to roadmap execution
Team Development: Lead hiring, training, and development of engineers within the managed team
A/B Testing Framework: Build and maintain robust experimentation frameworks for growth optimization
Data Pipeline Management: Oversee ETL processes and data pipelines for growth analytics and user segmentation
Scalable Architecture Design: Design and implement scalable systems for high-traffic growth pages and user onboarding flows

What we look for

Technical

Software Engineering Experience8+ years of software engineering experience with focus on growth or related technologies
Management Experience2+ years of experience managing and mentoring a team of developers
API ProficiencyStrong experience with API design, development, and integration
Data Pipeline ExpertiseProficient with ETL processes and data pipeline architecture
Growth Technology StackExperience with growth-specific technologies including A/B testing and analytics platforms

Education

Technical DegreeBachelor's or Master's degree in Computer Science, Engineering, or related technical field preferred

Experience

Growth EngineeringHands-on experience building growth features, user acquisition systems, and conversion optimization tools
Team LeadershipProven track record of managing engineering teams and driving technical delivery
Fintech/PaymentsExperience in financial technology, payments, or related regulated industries preferred
High-Scale SystemsExperience building and maintaining systems that handle high traffic and global scale

Skills

Required skills

Technical LeadershipAbility to provide hands-on technical guidance while managing engineering teams
Communication SkillsEffectively convey technical concepts to both technical and non-technical stakeholders
Data-Driven Decision MakingLeverage analytics and metrics to guide engineering priorities and business decisions
Growth EngineeringDeep understanding of user acquisition, conversion optimization, and growth metrics
System ArchitectureDesign scalable architectures for high-traffic applications and data processing
API DevelopmentStrong experience with RESTful APIs and microservices architecture
ETL and Data PipelinesProficiency in building and maintaining data processing systems

Nice to have

Go-to-Market OperationsEnd-to-end experience with GTM operations and customer acquisition funnels
Data WarehousingKnowledge of data warehousing solutions and customer segmentation strategies
Analytics ExpertiseExperience with analytics tools and platforms for growth measurement
AI/LLM IntegrationFamiliarity with building AI-powered features and LLM integration
Fintech DomainUnderstanding of financial services, payments, and regulatory compliance
A/B TestingExperience with experimentation frameworks and statistical analysis

Compensation & benefits

Salary

USD 400,000 – 550,000 (annual)

Stock options

Available

Benefits

Equity Participation

Stock options in a company valued at $8 billion with strong investor backing

Healthcare Coverage

Comprehensive medical, dental, and vision insurance

Professional Development

Learning and development opportunities in cutting-edge fintech and AI technologies

Global Impact

Opportunity to shape global financial infrastructure serving 200,000+ businesses worldwide

Innovation Environment

Access to latest AI tools and technologies to enhance productivity and problem-solving

Career Growth

Accelerated learning and advancement opportunities in a high-growth fintech unicorn


Interview process

  1. 1
    Initial Screening Phone or video call with recruiter to discuss background, experience, and role expectations
  2. 2
    Technical Leadership Interview Discussion of technical architecture, system design, and past engineering leadership experiences
  3. 3
    Growth Engineering Deep Dive Technical interview focused on growth metrics, A/B testing, data pipelines, and user acquisition strategies
  4. 4
    Management and Team Leadership Behavioral interview covering team management, hiring, mentoring, and cross-functional collaboration
  5. 5
    Product and Strategy Discussion Case study or discussion with Product team about growth initiatives and technical roadmap planning
  6. 6
    Final Interview Panel Meeting with senior leadership to discuss company fit, career goals, and strategic vision
  7. 7
    Reference and Background Check Verification of work history and professional references

Apply for this position

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Airwallex

Airwallex

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Airwallex is a Singapore-based financial technology company specializing in cross-border payments and financial services for businesses.

SingaporeFounded 2015airwallex.com

Tech Stack

Languages
PythonJavaScriptTypeScriptSQL
Frameworks
ReactNode.jsNext.js
Databases
PostgreSQLRedisData Warehouse
Tools
A/B Testing PlatformsAnalytics ToolsETL ToolsMarketing Automation Platforms
Other
AI/LLMsAPIsData PipelinesMicroservices
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