(Senior) Team Leader - Product Growth

Role SummaryMoney transfer is a network product: every sender brings a receiver, and every transfer can trigger the next one. Growth compounds when receivers become senders, first transfers become habits, and one product leads to the next. The Growth Lead owns the user and defines the growth strategy for the BU, including bundling and cross-sell across MoMo: which levers to pull, which bets to make, and in what order. You find the levers, prove them with data and experiments, carry the number, and move first, turning insight into action in days, not weeks. You also build with the team the AI agents that make this faster, and grow a team that thinks and moves the same way. Mô tả công việc1. Product User AnalyticsLead product and user analytics for the BU (funnels, cohorts, retention, segmentation, network effects) to find the moments that turn a first-time user into a habitual one. Run feature-level analytics: adoption, funnels and conversion by surface and entry point, and the paths that separate repeat users from those who stall. Combine data with qualitative signals (interviews, surveys, feedback) to explain why users behave as they do, and value each segment (lifetime value, cost to acquire, payback) to direct effort and budget. Analyze behavior across BUs: users who move between products, users who stop at one, and flow one BU can unlock for another. Dive deep before concluding: check data quality, definitions and confounders.2. Growth Strategy RoadmapOwn the growth model for the BU and its links across MoMo, from acquisition to resurrection and the loops between products. Define the growth strategy: where to play, which levers to pull and in what order, with every opportunity, including cross-BU bundling and cross-sell, sized and ranked into a bet portfolio. Identify, size and prioritize by growth impact the growth levers in the product journey (onboarding, first-transfer activation, repeat-transfer habit, referral and viral loops, receiver-to-sender conversion, re-engagement), agree their targets with Product, and push experiments on them together to drive new growth. Develop long-term growth levers (loops, habits, network effects) rather than short-term incentive spikes. Frame trade-offs (growth vs. cost, acquisition vs. retention) with a clear recommendation, and support quarterly and annual planning with targets, budget and incentive ROI. Influence the product roadmap with evidence (the problem to solve and sized impact) and drive execution of growth initiatives with Product, Tech and other teams, while Product leads product delivery. Align other BU leaders, Finance, Data and Marketing on shared plans.3. Growth Execution ExperimentationTurn insights into growth hypotheses and propose experiments (UX, features, growth mechanics, schemes and journeys) to Product and other teams, each with a sized impact and success metric. Run a steady cadence of experiments with Product, each with a clear hypothesis, success metric, guardrails and the sample size needed to detect the expected effect, and measure the real impact of each change with A/B tests, control groups or pilots, not just the volume attributed to it. Own the growth funnel from acquisition to retention and optimize its levers (incentives, gamification, referrals, viral loops) to improve conversion. Drive campaign and communications execution with Marketing and Operations, moving budget toward what shows the highest incremental impact, and scale what works. Close every experiment with a documented decision, and share what worked and what did not.4. Performance Tracking Continuous OptimizationOwn the KPI framework across product, growth and marketing: North Star, input metrics and guardrails, with one definition of each metric. Track growth health with growth accounting (new, retained, resurrected and churned users, quick ratio) to show whether growth is compounding or leaking, and monitor adoption, retention and engagement trends. Run the weekly performance review (actual vs. plan, variance drivers, early warnings) with a recommended action every time. When a metric moves the wrong way, find the cause, drive the response and report to leadership.5. Agentic AI in GrowthDrive agentic AI adoption in the growth team, building agents and workflows with the team and Data partners for user investigation, anomaly detection, reporting and experiment readouts, using MoMo Data MCP with human review at key decisions. Set quality standards for AI-generated analysis (validation, reproducibility, metric definitions) and fintech guardrails (privacy, access control, fraud and incentive abuse). Coach the team to use AI daily and keep a shared library of workflows and prompts.6. Team LeadershipLead and develop the growth and analytics team with clear goals, direct feedback and higher analytical standards. Align Product, Tech, Finance, Marketing and other BUs through the quality of evidence, without formal authority. Review results with the team: bets that paid off, growth delivered, how close forecasts were, and how fast insight becomes action. Yêu cầu công việcMust-have5+ years in growth, product analytics, product management or strategy, owning a metric and moving it. Advanced data analytics and hands-on product analytics (feature adoption, funnel, cohort, retention) and growth accounting; works without a dedicated analyst. Experimentation experience: designing and sizing tests, incrementality and causal inference. Strong product sense and a track record of improving activation, retention or transaction frequency with Product and Tech, turning user data into decisions, with a clear example. Experience with Marketing and Operations on incentives, campaigns or CRM; uses LLM tools daily and is keen to build agents with the team. Structured communicator who has led or mentored analysts or growth managers and influenced senior stakeholders without formal authority. Nice-to-haveExperience in fintech, payments, super-app or marketplace environments, especially with two-sided or C2C network dynamics. Experience with incentive economics, growth campaigns (cost per incremental user, payback) and fraud or abuse controls. Experience with agent pipelines, MCP tooling or automated reporting through LLMs. Background in user research, growth marketing, product-led growth or quantitative consulting.