FrontStory is hiring a data-driven User Acquisition Manager to own and scale Google Ads across dozens of apps, primarily Google App Campaigns, with a path to expand into YouTube, pre-installs and incentivized traffic as you prove impact. You’ll manage complex MCCs and multi-app budgets, build bidding strategies on predicted LTV rather than simple CPA, and translate GA4, Singular and RevenueCat data into actionable growth. Expect continuous testing of new campaign types and geos, plus pilots into additional channels. An ownership mindset and comfort with automation using AI tools are essential, as is collaboration with the founder. To apply, quantify your impact, show large-budget optimization, and demonstrate a proactive growth roadmap aligned with the role's data-driven, experimental culture; include onsite Tel Aviv readiness.
Jedy 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, with deep
in-house data infrastructure (Firebase/GA4, RevenueCat, Singular) and a growing set of
AI-driven automation tools for campaign management and analysis.
About the Role
We're looking for a data-driven, highly analytical User Acquisition Manager to own and grow our
Google Ads activity across a large multi-app portfolio. You'll be focusing on Google Ads
(primarily Google App Campaigns), with a clear path to expanding into additional non-social
channels such as YouTube, pre-installs, and incentivized traffic as you prove impact.
This is not a maintain-the-dashboards role. We want someone who treats UA as a science,
comfortable with LTV modeling, predictive bidding, and complex multi-app account structures
and who is constantly looking for the next lever to pull, whether that's a new campaign structure,
a new channel, or a smarter way to automate the work.
What You'll Do
Own and scale Google Ads performance across dozens of app campaigns.
Manage complex account structures, including multiple MCCs, numerous apps, and varying budgets and goals.
Build and optimize bidding strategies based on predicted Lifetime Value (LTV), rather than simple CPA or ROAS targets.
Analyze and interpret data from GA4, Singular, and RevenueCat to make data-driven user acquisition decisions based on payback and cohort performance.
Continuously test and expand acquisition efforts by exploring:
Evaluate and pilot additional acquisition channels, including:
Leverage AI tools (e.g., Claude Code and similar) to:
Demonstrate an ownership and entrepreneurial mindset by: