Jobs at FrontStory

Own and scale Google Ads user acquisition across mobile app campaigns and large budgets. Develop LTV-based bidding strategies, analyze cohort and payback data using GA4, Singular, and RevenueCat, and use AI tools to automate reporting and detect anomalies. The role requires proactive ownership of the growth roadmap, complex account management, predictive LTV modeling, and hands-on data analysis without relying on a dedicated data science team.

Own and scale Google Ads and Google App Campaigns for a large mobile app portfolio. Manage substantial budgets and complex account structures, optimize predictive LTV-based bidding, analyze cohort and payback data using GA4, Singular, and RevenueCat, and use AI tools for reporting and anomaly detection. Drive user acquisition growth initiatives with strong ownership and analytical decision-making.

Lead and optimize demand operations for monetization efforts. Responsibilities include developing processes, managing teams, building partner relationships, collaborating cross-functionally, analyzing performance data, and identifying growth opportunities. The role requires strategic thinking, strong communication, hands-on leadership, organization, independence, and a results-driven approach. Travel is required 1–2 times annually to strengthen partnerships and pursue new opportunities.

Own and scale Google Ads user acquisition across a large portfolio of mobile app campaigns. Manage substantial budgets, optimize predictive LTV-based bidding, analyze cohort performance and payback using GA4, Singular, and RevenueCat, and apply AI automation for reporting and anomaly detection. The role requires proactive ownership of the growth roadmap and hands-on data analysis without dedicated data science support.

Own and scale Google Ads (primarily App Campaigns) across a large multi-app portfolio. Manage complex account structures and bidding strategies based on predicted LTV. Analyze GA4, Singular, and RevenueCat data to drive acquisition decisions, test new campaign types, geos and channels (YouTube, pre-installs, incentivized traffic), and leverage AI tools to automate reporting, detect anomalies, and streamline campaign management.

Develop and deliver high-quality full-stack applications, collaborate with product team, contribute to architecture and design, troubleshoot/debug, and work within Agile processes while learning and sharing new technical ideas.

Own and scale end-to-end user acquisition across paid channels using AI-driven research and automation. Develop and optimize campaigns, test growth opportunities, collaborate with product to improve conversion, and use data for fast performance decisions.

Design, build, and deploy production ML systems for a mobile-gaming loyalty platform using high-volume behavioral data. Create real-time models for marketplace matching, dynamic pricing, personalized recommendations, fraud detection, and game-economy simulation, owning end-to-end delivery and iteration.