[Hiring] Performance Marketing Specialist @Moniepoint

Role Description

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.

Qualifications

• 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.

Requirements

• 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.