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Mobile Growth Manager

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Onsite

Mobile Growth Manager

FrontStory

Mobile Growth Manager

Skills

Data AnalysisAIGoogle Ads

2 months ago

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Work mode:

Onsite

Published on:

31 August 2026

What they need


edy Apps is a mobile app company operating a portfolio of 80+ Android utility apps on Google Play, reaching ~1.5M daily active users. We run performance marketing at scale, backed by robust data infrastructure (Firebase/GA4, RevenueCat, Singular) and AI-driven automation tools.

About the Role We're looking for a data-driven, highly analytical User Acquisition Manager to own and grow our Google Ads activity (primarily Google App Campaigns), with a clear path to expanding into non-social channels.

This is not a maintain-the-dashboards role. We want someone who treats UA as a science and acts as their own Data Analyst—comfortable diving deep into raw data without relying on a dedicated data science team, working with LTV modeling, predictive bidding, and managing complex account structures with high budgets

What You'll Do

  • Own and scale Google Ads performance across dozens of app campaigns, managing large-scale budgets ($1M+ monthly) and complex account structures.
  • Build and optimize bidding strategies based on predicted Lifetime Value (LTV) rather than simple targets.
  • Conduct hands-on data analysis using GA4, Singular, and RevenueCat to uncover deep insights and optimize campaign performance based on payback and cohort dat
  • Leverage AI tools to automate reporting, detect anomalies, and streamline repetitive tasks.
  • Demonstrate an ownership mindset by driving initiatives proactively and taking responsibility for the growth roadmap.

Requirements:

  • 3+ years of hands-on experience managing Google Ads accounts
  • 1+ year specifically with Google App Campaigns (UAC)
  • Proven experience managing complex, large-scale account structures and significant advertising budgets ($750k+ monthly spend)
  • Experience working with predicted/modeled LTV as a bidding input, not just historical revenue
  • Strong hands-on data analytics skills , acting as your own Data Analyst to perform deep data explorations and draw actionable insights

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