Your Core Responsibilities

• Design and own the growth operating system: Build the segmentation frameworks, experimentation roadmaps, and measurement infrastructure that Product, Operations, and Commercial teams use to drive retention and up-sell across M-KOPA
• Architect behavioural trigger-based up-sell systems: Design the retention and lifecycle programmes that move customers from entry products (smartphones/e-bikes) to high-value bundles (digital loans, health cover, device protection) - unlocking revenue based on payment behaviour and engagement signals
• Validate strategies by building campaigns yourself: Personally build and deploy automated customer journeys in CleverTap/Braze - running hypothesis-driven experiments with control groups, incrementality measurement, and statistical rigour across SMS, WhatsApp, push, and in-app channels
• Influence product and pricing strategy with customer insights: Translate CRM experiments and retention economics into product feature recommendations, pricing changes, and commercial strategy that shapes business decisions
• Scale what works into repeatable playbooks: Turn successful experiments into documented frameworks and systems that enable teams to execute growth initiatives autonomously across 5 markets

Your Environment

Product Growth Tech Stack:

• CRM/Lifecycle Tools: CleverTap, Braze, MoEngage, Customer.io, Iterable, or Salesforce Marketing Cloud (We use CleverTap, but deep expertise in one or two of these platforms is what matters - you don't need experience with all of them)
• Analytics: GA4, Mixpanel, Amplitude, Looker (or similar)
• Channels: WhatsApp, SMS, push notifications, in-app messaging, telesales, and integrated Direct Sales Agent networks
• Data: Proprietary customer insights spanning millions of transactions across 5 African markets

• Design and own the growth operating system: Build the segmentation frameworks, experimentation roadmaps, and measurement infrastructure that Product, Operations, and Commercial teams use to drive retention and up-sell across M-KOPA
• Architect behavioural trigger-based up-sell systems: Design the retention and lifecycle programmes that move customers from entry products (smartphones/e-bikes) to high-value bundles (digital loans, health cover, device protection) - unlocking revenue based on payment behaviour and engagement signals
• Validate strategies by building campaigns yourself: Personally build and deploy automated customer journeys in CleverTap/Braze - running hypothesis-driven experiments with control groups, incrementality measurement, and statistical rigour across SMS, WhatsApp, push, and in-app channels
• Influence product and pricing strategy with customer insights: Translate CRM experiments and retention economics into product feature recommendations, pricing changes, and commercial strategy that shapes business decisions
• Scale what works into repeatable playbooks: Turn successful experiments into documented frameworks and systems that enable teams to execute growth initiatives autonomously across 5 markets

• CleverTap/Braze expertise
• CRM/Lifecycle Tools
• Analytics (GA4, Mixpanel, Amplitude, Looker or similar)
• WhatsApp, SMS, push notifications, in-app messaging
• Segmentation frameworks
• Experimentation roadmaps
• Measurement infrastructure
• Customer insights
• Growth operating system
• Retention and lifecycle programmes
• Hypothesis-driven experiments
• Incrementality measurement
• Statistical rigour

• BA/BSc/HND
• Deep expertise in one or two CRM/Lifecycle tools (CleverTap, Braze, MoEngage, Customer.io, Iterable, or Salesforce Marketing Cloud)
• Experience with analytics platforms (GA4, Mixpanel, Amplitude, Looker or similar)
• Experience with channels like WhatsApp, SMS, push notifications, in-app messaging
• Experience in designing and owning growth operating systems
• Experience in architecting behavioural trigger-based up-sell systems
• Experience in building and deploying automated customer journeys
• Experience in running hypothesis-driven experiments with control groups, incrementality measurement, and statistical rigour
• Experience in translating CRM experiments and retention economics into product feature recommendations, pricing changes, and commercial strategy
• Experience in scaling successful experiments into repeatable playbooks