Senior Manager, Growth Strategy & Operations

Airwallex•San Francisco, CA

1d•$160,000 - $240,000•Hybrid

About The Position

Lead the operating, measurement, and systems layer for Airwallex’s global product-led growth engine. This role combines people leadership with hands-on ownership of funnel analytics, experimentation, campaign measurement, and growth technology, helping Growth teams improve the customer journey from acquisition and onboarding through activation, first transaction, retention, and expansion. Build and scale operating mechanisms, KPI frameworks, dashboards, experimentation processes, campaign operations, tracking standards, and growth technology that turn customer, product, campaign, payment, and business-performance data into clear decisions. Lead and develop a team responsible for growth operations, analytics, experimentation, and systems, including hiring, coaching, prioritization, performance management, and capability building. Own end-to-end funnel and customer journey analytics across acquisition, onboarding, activation, first transaction, repeat usage, retention, and expansion. Identify conversion gaps, payment friction, customer opportunities, and potential improvements to product adoption and gross profit per customer. Work cross-functionally to prioritize opportunities, define hypotheses, design measurement approaches, evaluate experiments, and scale successful initiatives globally. Establish reliable campaign and experiment measurement practices, including campaign IDs, tagging conventions, data-quality checks, attribution requirements, control or holdout methodologies, success criteria, and post-launch readouts. Improve growth technology and operational processes by identifying tooling gaps, automating recurring analysis and reporting, and applying AI responsibly with appropriate human review and controls. The role works from Airwallex’s San Francisco office on Mondays, Wednesdays, and Thursdays. Growth at Airwallex is building a unified, AI-native growth system across product, sales, and marketing, using customer context, machine learning, automation, and continuous learning to improve customer acquisition, activation, conversion, retention, and expansion. The work includes high-traffic platforms, experimentation frameworks, intelligent decision systems, and AI-native tools and agentic workflows operating within clear strategies and guardrails. The team combines consumer-technology speed with the precision, trust, and regulatory complexity of global B2B finance.

Requirements

10+ years of experience in Growth, Growth Strategy & Operations, Product Growth, Product Analytics, Revenue Operations, Business Operations, or a related field.
3+ years of experience managing and developing teams, including hiring, coaching, setting priorities, and managing performance.
Demonstrated experience owning growth strategy and operations across complex, cross-functional initiatives with multiple stakeholders, dependencies, and changing priorities.
Proven experience building and operating funnel analytics, KPI frameworks, dashboards, experimentation programs, or performance-reporting systems that informed business decisions.
Strong analytical and problem-solving skills, with the ability to work comfortably with customer, product, campaign, payment, and business-performance data.
Demonstrated experience translating analysis and strategic priorities into operating processes, measurable outcomes, and scalable execution.
Excellent written and verbal communication skills, including the ability to synthesize complex findings and present clear recommendations to senior stakeholders.
Comfort owning a roadmap, making decisions with incomplete information, adapting when data changes, connecting cross-functional details to the big picture, and taking accountability.

Nice To Haves

Experience in payments, fintech, B2B SaaS, or another high-growth, product-led environment, with a strong understanding of customer onboarding, activation, payment conversion, product adoption, retention, and expansion.
Hands-on proficiency with SQL and analytics or business intelligence tools such as Looker, Tableau, Hex, Amplitude, Mixpanel, Snowflake, dbt, or equivalent platforms.
Experience building scalable growth systems across CRM, marketing automation, customer data platforms, experimentation tooling, campaign operations, data-quality governance, and reporting automation.
Experience analyzing payment-specific metrics and friction points, such as authorization or approval rates, payment-method performance, onboarding or KYC/KYB completion, risk-related drop-off, payment recovery, or first-transaction conversion.
Experience partnering with Product, Engineering, Marketing, Sales, Finance, Legal, Risk, Compliance, and regional teams in a regulated or technically complex environment.
A builder’s mindset, strong intellectual curiosity, resilience, comfort operating in ambiguity, ability to influence across functions, and experience developing a high-performing team.

Responsibilities

Lead the operating, measurement, and systems layer for Airwallex’s global product-led growth engine.
Build and scale operating mechanisms, KPI frameworks, dashboards, experimentation processes, campaign operations, tracking standards, and growth technology.
Lead, hire, coach, prioritize, and manage the performance and capability development of a team responsible for growth operations, analytics, experimentation, and systems.
Own end-to-end funnel and customer journey analytics across acquisition, onboarding, activation, first transaction, repeat usage, retention, and expansion.
Identify conversion gaps, payment friction, customer opportunities, and potential improvements to product adoption and gross profit per customer.
Partner with Growth Innovation, Growth Lifecycle, Growth Product, Growth Platform and Systems, Product, Marketing, Data and Analytics, Engineering, Sales and Commercial, Finance, Legal, Risk, Compliance, and regional Growth teams to prioritize opportunities, define hypotheses, design measurement approaches, evaluate experiments, and scale successful initiatives globally.
Establish campaign and experiment measurement practices, including campaign IDs, tagging conventions, data-quality checks, attribution requirements, control or holdout methodologies, success criteria, and post-launch readouts.
Identify growth technology and tooling gaps and improve operational processes.
Automate recurring analysis and reporting, and apply AI responsibly with appropriate human review and controls.
Own the role’s roadmap, make decisions amid incomplete information, and adapt priorities based on data.