WHO WE ARE:

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless

payments, banking, credit, and business management tools since 2019. As Nigeria’s largest merchant acquirer, it powers most of the

country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its

customers while operating profitably.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation,

teamwork, and growth.

ABOUT THE ROLE:

We are hiring for a dedicated Google Acquisition function to drive scalable customer growth across both our personal and business

banking products. This Senior Manager will own the end-to-end Google performance channel — from campaign architecture and

technical infrastructure to economic modelling and channel governance.

This is not an execution role dressed up as a leadership role. We need someone who thinks in systems, works from first principles,

and has the depth to make credible judgements on strategy, technology, and economics simultaneously.

RESPONSIBILITIES

Campaign Architecture & Execution
Design and own the full Google channel strategy across UAC / App Campaigns, Performance Max, and Search for both personal and

business banking acquisition

Build and maintain campaign structures optimised for Moniepoint's dual-product funnel — separating signals, audiences, and

bidding logic appropriately across segments

Set bidding strategies, budget allocation frameworks, and creative testing cycles that reduce dependence on any single signal

or format

Own campaign performance end-to-end: from brief to launch to optimisation to reporting
Tracking, Attribution & Technical Infrastructure
Architect and own the full measurement stack: Firebase / GA4 event taxonomy, Google Tag Manager configuration, and

server-side event pipelines

Lead the implementation and ongoing integrity of Conversion APIs and enhanced conversions to maximise signal quality sent

back to Google

Define the attribution model — evaluate last-click, data-driven, and custom models against Moniepoint's funnel reality, and

own the decision with clear reasoning

Partner with engineering and data teams to ensure event data flowing to Google is accurate, complete, and timely — treating

signal quality as a competitive asset

Build audit protocols for tracking coverage and attribution consistency; surface gaps before they distort decisions
LTV/CAC Economics
Own the economic model for Google acquisition: define CAC targets by product, segment, and channel variant; set the inputs,

assumptions, and review cadence

Understand the LTV/CAC relationship at a structural level — not just as a ratio to optimise, but as a function of product

retention, monetisation curves, and cohort behaviour

Build and iterate on payback period models that account for Moniepoint's emerging market context: irregular income patterns,

higher churn risk, and longer monetisation timelines

Design bidding and budget logic that reflects true LTV signals rather than proxy metrics, working closely with data science

to enrich Google's Smart Bidding with offline conversion data

Proactively identify when CAC is drifting against LTV thresholds and lead the diagnosis — channel mix, audience quality,

creative fatigue, product-market fit — before it becomes a financial problem

Governance & Reporting
Build a channel reporting system that surfaces reality clearly — not dashboards that flatter performance, but views that

drive better decisions

Establish review cadences with clear owners, metrics, and follow-through mechanisms
Translate channel performance into business language for senior stakeholders: what is the cost of growth, is it sustainable,

and what would change the trajectory

Emerging Market & Fintech Context
Adapt Google acquisition strategy for the realities of emerging market users: variable device penetration, low-bandwidth

environments, trust barriers to financial services, and diverse

language/literacy contexts
Navigate platform constraints specific to fintech advertising on Google: financial services policies, verification

requirements, and creative compliance

Bring genuine insight into what acquisition patterns distinguish sustainable fintech growth from subsidised growth in markets

like Nigeria

TO SUCCEED IN THIS ROLE, YOU SHOULD HAVE:

6+ years of hands-on paid acquisition experience, with the majority of that time spent on Google UAC / App Campaigns at

meaningful scale

Deep, demonstrable technical knowledge of Google's campaign infrastructure: bidding algorithms, audience signals, creative

specs, and the mechanics of Smart Bidding

Proven ability to architect and own the full measurement stack — Firebase, GA4, GTM, Conversion APIs — not just configure it

but understand why each component matters

Fluency in LTV/CAC modelling: you have built the models, owned the assumptions, and used them to make real budgeting and

bidding decisions

Experience operating in a fintech or financial services context, with direct knowledge of the acquisition compliance and trust

dynamics unique to financial products

Strongly Preferred
Experience running Google acquisition in Sub-Saharan Africa or comparable emerging markets — Nigeria specifically is a

significant advantage

Familiarity with server-side conversion APIs, offline conversion imports, and enhanced conversions as mechanisms for improving

signal quality in cookieless or app-first environments

Experience working with data science or analytics teams to build custom bidding signals and offline LTV imports into Google's

systems

Prior work on dual-product or dual-segment acquisition (e.g., consumer and SME / business) with separate funnel logic

WHAT SUCCESS LOOKS LIKE

In the first 90 days

Full audit of existing Google campaign structure, tracking integrity, and attribution model completed — with a written

assessment and prioritised improvement plan

Measurement stack gaps identified and remediation underway with engineering
LTV/CAC baseline model built with documented assumptions, reviewed with Growth and Finance
First governance cadence established — weekly performance review with clear owner, metrics, and follow-through log

In the first year

Google channel operating as a reliable, scalable growth engine with predictable CAC across both personal and business banking

segments

Signal quality measurably improved — higher match rates, cleaner conversion data, reduced reliance on last-click proxies
Attribution model validated against actual cohort data and actively used in budget allocation decisions
Playbook documented: campaign architecture, bidding logic, audience strategy, and economic model all institutionalised — not

living in one person's head

A team (or foundations for one) built with clear ownership, development paths, and no single point of failure

What to expect in the hiring process

A preliminary phone call with the recruiter
A technical interview with the hiring manager
A Case Study
A behavioural and technical interview with a member of the Executive team
All interview stages are virtual

Role

Performance Marketing Specialist

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