The Challenge
Airwallex is a $8B payments platform serving 200K+ global businesses. As Data Science Director for Growth, you'll architect the experimentation and AI engine driving their next hypergrowth phase—owning everything from A/B testing to agentic workflows that unlock step-function improvements in acquisition, activation, and monetization.
Your Mission
Audit current experimentation framework; design and socialize scalable A/B testing + multi-armed bandit infrastructure
Build and hire core DS team (3-5 ICs); establish team rituals, tech stack, and growth science operating principles
Launch 3-5 high-impact experiments across activation and conversion with clear impact on product roadmap
Define success metrics and baseline KPIs for growth funnel (CAC, activation rate, LTV, payback period)
Deploy ML-driven personalization engine (embeddings + recommendation models) into product for lifecycle messaging
Build first agentic workflow—automated campaign generation or sales assistant bot—live and driving incremental revenue
Scale experimentation cadence to 15+ concurrent experiments; establish causal inference capabilities for complex questions
Present quarterly growth science roadmap to executive team with $XXM revenue impact forecasts and team expansion plan
KPIs You'll Own
Monthly Active Experimentation Velocity
Number of concurrent, statistically valid experiments running; target incrementally from current baseline to 20+ by month 6.
Growth Funnel Metrics (CAC, Activation Rate, LTV)
Track acquisition cost, % of users completing key activation events, and 12-month LTV; measure impact of DS-led initiatives.
AI Solution Adoption & Revenue Lift
% of users exposed to personalization engine, agentic workflows, and segment-based messaging; measure incremental revenue attribution.
Team Throughput & Capability
Number of production ML models deployed per quarter; on-time delivery of experimentation requests from product/marketing.
Tools & Stack
Your Team
Your Manager
VP/Chief Product Officer or Chief Revenue Officer (implied from role level)
Current Team
3-5 ICs (estimated based on 'build and scale' language); likely junior-to-mid DS engineers, analytics engineers
New expansion hire; high likelihood of backfill and team growth
The Package
Salary
$280K-$360K base
Variable
15-25% performance bonus (typical for director-level fintech)
Equity
0.10%-0.35% RSUs (4-year vest, typical post-Series D unicorn)
Remote
On-site, San Francisco. No remote flexibility indicated.
Benefits & Perks
Company Intelligence
Airwallex is a unified payments and financial platform for global businesses, serving 200K+ customers (Brex, Rippling, Navan, Qantas, SHEIN). Founded in Melbourne, $8B valuation, 2,000+ employees across 26 offices. Backed by T. Rowe Price, Visa, Mastercard, Sequoia, Salesforce Ventures.
Founded
2015
Team Size
2000
Funding
$8B valuation (Series D+)
Customers
200,000+ businesses globally (Brex, Rippling, Navan, Qantas, SHEIN, etc.)
Culture
Founder-like energy, builder mentality, first-principles thinking, bias toward speed + rigor, AI-forward, end-to-end ownership, collaborative, mission-driven.
Is This Role For You?
- You've led a data science or analytics team (3+ people) at a B2B SaaS or fintech company and shipped models to production
- You're fluent in experimentation design, causal inference, and ML—and can code (Python) and debug your own ideas
- You thrive scaling teams and mentoring engineers; you get excited building culture and defining best practices
- You have founder-like energy: you move fast, ship early, and balance rigor with pragmatism; you use AI tools to amplify your leverage
- You're primarily an academic or researcher; you need perfect data and months to publish vs. shipping working solutions in weeks
- You require remote flexibility; this role is on-site in San Francisco, no exceptions
- You've never shipped a live ML model or led through a hypergrowth phase; you lack the operational muscle for a scaling fintech
Interview Process
Screen (30 min)
Recruiter or hiring manager: Confirm team leadership experience, growth science fluency, and mission fit.
Manager Deep Dive (60 min)
VP/CRO or Head of Product: Discuss your experimentation philosophy, team building approach, and how you'd tackle their current growth problems.
Technical Case Study (90 min)
Data science team lead: Present a past project (experiment design, ML model, personalization system, agentic workflow). Live Q&A on methodology and trade-offs.
Leadership Panel (60 min)
Cross-functional (2-3 leaders from Product, Engineering, Finance): Culture fit, ability to partner, and vision for growth science roadmap.
Offer & Close (30 min)
CEO or VP: Mission pitch, growth opportunity, and comp discussion.
Interested in this role?
Apply now and hear back within days, not weeks.
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About Growth Marketing Roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.