- The Growth Product Manager will own adoption, usage and commercial growth across ARM's digital platforms, turning customer insight, behavioral data and commercial priorities into scalable improvements across acquisition, onboarding, activation, funding, repeat investment, retention, referral and measurable business growth.
- This is a hybrid growth-operator role rather than a purely marketing or purely product remit: it connects growth-hacking and rapid experimentation, hands-on ownership of the marketing technology (Martech) stack and lifecycle campaign orchestration, and disciplined product management into a single, measurable growth engine.
- The successful candidate will identify the highest-value friction points in the customer journey, build and priorities a measurable growth roadmap, and lead cross-functional squads to test, ship and scale solutions that increase active investors and assets under management while maintaining customer trust, regulatory compliance and healthy unit economics.
Growth Strategy and Roadmap
- Define the product-led growth strategy for ARM's digital wealth platforms, aligned with enterprise priorities, target customer segments and commercial objectives.
- Translate growth goals into clear product outcomes, quarterly OKRs, initiatives and sequenced roadmaps.
- Develop a robust understanding of customer needs, barriers to investing, channel behaviours, competitor propositions and market trends.
- Prioritize opportunities using expected customer value, impact on assets under management, revenue potential, delivery effort, risk and strategic fit.
- Balance near-term funnel improvements with longer-term investments in scalable growth loops, platform capabilities and customer lifetime value.
Funnel Optimization and Experimentation
- Apply growth-hacking methods; rapid, structured experiments, referral loops, and landing-page/conversion-rate optimization to unlock quick wins alongside the core roadmap.
- Own the end-to-end growth funnel and identify conversion leaks through quantitative analysis, customer research, service data and frontline feedback.
- Improve registration, identity verification, risk profiling, bank-account verification, funding and first-investment journeys to reduce avoidable abandonment.
- Design and run well-governed experiments, including A/B tests, pilots and cohort-based tests, with clear hypotheses, success criteria, guardrails and post-test decisions.
- Optimize time-to-value so new customers quickly experience the benefit of investing through ARM.
- Build repeatable growth loops such as referrals, recurring investments, goal-based investing, cross-sell, reactivation and content-to-investment journeys.
- Ensure experiments do not create misleading claims, unsuitable nudges, dark patterns or unacceptable customer, operational or regulatory risk.
- Customer Acquisition, Activation and Lifecycle Growth
- Partner with Marketing, Sales and Partnerships to connect acquisition campaigns to seamless, measurable in-product journeys.
- Improve channel quality and conversion by aligning audience, proposition, landing experience, onboarding and next best offers.
- Develop lifecycle strategies for activation, education, repeat business, cross selling, engagement, maturity or redemption events, dormancy prevention and win-back.
- Use segmentation and personalization responsibly to deliver relevant prompts, educational content and financial planning pathways.
- Support partner and embedded distribution propositions by defining customer experience, product requirements, economics and operating model.
Martech, Campaigns and Lifecycle Orchestration
- Own the Martech stack for growth CRM, marketing automation, campaign management and messaging tool partnering with Data/IT and Marketing on configuration, integration and vendor management.
- Design and orchestrate always-on and triggered lifecycle campaigns across push, email, SMS/WhatsApp and in-app messaging, sequencing content and offers to each stage of the customer journey: awareness, sign-up, KYC, first funding, first investment, repeat business, cross selling and win-back.
- Build and maintain customer segmentation and behavioural triggers or live events (e.g. onboarding drop-off, low first funding, dormancy risk) that drive automated, personalized lifecycle journeys rather than one-off blasts.
- Ensure accurate campaign attribution and channel-performance measurement, working with Data and Engineering to connect Martech tooling into the core analytics and event-tracking stack.
- Continuously test and refine messaging, timing, channel mix, creative and offers to improve activation, engagement, repeat investment and reactivation outcomes.
Data, Insights and Performance Management
- Define the growth measurement framework, including the north-star metric, leading indicators, funnel definitions and metric ownership.
- Work with Data and Engineering to ensure reliable event tracking, attribution, cohorting, dashboards and experiment measurement.
- Apply behavioural analytics cohort analysis, event-level tracking, behavioural segmentation, activation-metric design, churn-signal detection and retention-curve analysis to understand how customers actually move through the product, not just where they drop off.
- Monitor performance by segment, product, platform, channel and cohort; distinguish sustainable growth from short-term volume.
- Build business cases and forecasts for growth initiatives, including expected incremental funded accounts, net flows, revenue, cost and payback.
- Communicate results, lessons, risks and recommended decisions clearly to senior leaders and cross-functional stakeholders.
Product Delivery and Cross-functional Leadership
- Lead a cross-functional growth squad comprising Engineering, Design, Data, Marketing and Operations partners.
- Turn opportunities into clear product briefs, user stories, acceptance criteria, analytics requirements and launch plans.
- Maintain a prioritized backlog and make transparent trade-offs based on evidence, capacity, value, dependencies and risk.
- Partner with Design and Research to create simple, accessible and trustworthy experiences for customers with different levels of financial literacy.
- Coordinate releases, operational readiness, customer communication, support playbooks and post-launch monitoring.
- Remove delivery blockers, manage dependencies and create a strong cadence for discovery, experimentation, delivery and learning.
Risk, Compliance and Customer Trust
- Partner early with Legal, Compliance, Risk, Information Security, Data Privacy, Internal Control and Operations throughout discovery and delivery.
- Ensure journeys and communications comply with applicable capital-market requirements, KYC, AML/CFT/CPF, data-protection, and internal governance standards.
- Protect suitability, transparency and informed customer choice; ensure fees, risks, returns and product terms are presented clearly.
- Define and monitor guardrail metrics covering complaints, failed transactions, fraud, reversals, operational incidents, suitability concerns and customer harm.
- Maintain appropriate documentation, approvals, experiment records and audit trails
- Bachelor's degree in Business, Economics, Finance, Computer Science, Engineering, Statistics or a related discipline; a relevant postgraduate qualification is advantageous.
- Typically, 5 - 8 years of relevant experience, including at least 3 years owning digital products or growth outcomes in fintech, investments, wealth management, banking, payments, e-commerce or another high-volume digital business.
- Demonstrated success improving measurable outcomes across acquisition, activation, retention, monetization or referral funnels.
- Hands-on experience with product discovery, roadmapping, agile delivery, experimentation and lifecycle optimization.
- Strong analytical capability, including funnel analysis, cohorts, segmentation, experiment design, unit economics and business-case development.
- Experience working with product/behavioural analytics tools (e.g. Mixpanel, Amplitude or GA4), business-intelligence and experimentation platforms, and hands-on ownership of a CRM or marketing-automation/martech platform (e.g. Braze, CleverTap, Salesforce Marketing Cloud or HubSpot) for lifecycle campaign orchestration; working knowledge of SQL is strongly preferred.
- Practical experience designing and running behavioural-segmentation and lifecycle-messaging programmes (push, email, SMS/WhatsApp, in-app) across acquisition, activation, retention and win-back journeys.
- Sound understanding of digital financial-services operations, customer onboarding, payments, identity verification and regulated product delivery.
- Experience in Assets management will be an added advantage.
- Experience influencing senior stakeholders and leading cross-functional teams without relying solely on formal authority.