Brand Knew

Brand Knew

Paid Media Manager – Gaming & Performance Marketing Focus

Los Angeles

Sponsorship not specified$72k-$90kDetected 450 days ago
A/B TestingGoogle AdsGoogle AnalyticsPerformance MarketingExcelCommunicationPublic SpeakingOrganizational Skills

About the role

  • If you're passionate about user acquisition, thrive in fast-paced environments, and know how to scale campaigns across Paid Social, Search and App Networks -we'd love to talk.
  • Note: Applications that are not fully and properly filled out will not be considered.

Responsibilities

  • Develop, manage, and scale paid media campaigns across Meta, Snap, X, TikTok, Google Ads, Apple Search Ads, Google UAC, and programmatic platforms such as Moloco, AppLovin, and Rokt
  • Partner with creative and marketing teams to conceptualize and test high-performing ad creative and landing pages
  • Build and optimize full-funnel user acquisition strategies for gaming, social casino, and entertainment clients with a strong focus on CPA and ROAS
  • Continuously test, iterate, and optimize campaigns-audiences, creatives, bids, and budgets-to drive measurable results
  • Collaborate with developers and analytics leads to ensure accurate tracking (GA4, pixels, in-app events, etc.)
  • Deliver detailed reports and insights to internal and external stakeholders
  • Deep experience developing strategies and managing campaigns on Meta, TikTok, Snap, X, Apple Search Ads, Google UAC
  • This is an opportunity to join a creatively-led, data-informed team building campaigns that convert.

Requirements

  • 3+ years of hands-on paid media experience with a proven track record in mobile gaming, real money gaming, or social casino
  • and working knowledge of platforms like Moloco, AppLovin, and Rokt
  • Proficiency in campaign setup, optimization, A/B testing, creative performance analysis, and retargeting
  • Familiarity with mobile attribution and MMPs (e.g., AppsFlyer, Adjust)

Compensation

  • $72k-$90k

This listing is sourced directly from Brand Knew's careers page and normalized into a canonical job model.