Drimva

Moloco

Group Product Manager, IAP Advertising Performance

$180K–$264K

Menlo Park, California, United States +3 · Manager · Full-time · Posted Oct 22, 2026

Location
Menlo Park, California, United States
New York, New York, United States
Seattle, Washington, United States
Menlo Park, California, United States
Experience
10+ years, including significant product-management experience in a relevant domain.

About the job

Leads product strategy and execution for Moloco’s in-app purchase (IAP) advertising performance systems, improving advertiser outcomes across recommendations, bidding, signals, and campaign automation.

What you'll do

  • Define the vision and multi-year roadmap for IAP performance across Android and iOS.
  • Lead product development of bidding, recommendations, signals, and campaign automation, including measurement and experimentation.
  • Align cross-functional teams and translate machine-learning, data, and platform advances into measurable advertiser outcomes.

What they ask for

  • 10+ years of experience, including significant product-management experience in ad tech, machine learning, marketplaces, optimization systems, or another technically complex domain.
  • End-to-end product ownership from strategy through launch and measurable business impact.
  • Track record turning complex ML, data, or platform capabilities into customer and business outcomes.
  • Experience leading cross-functional initiatives and partnering with technical teams.

Nice to have

  • Experience with mobile advertising, in-app purchase or app-growth economics, gaming, DSPs, ad exchanges, or real-time bidding.
  • Experience with bidding, recommendation, campaign automation, measurement, SDK-based products, or mobile measurement ecosystems.

Pay

$211,200 — $264,000 USD (base salary); $190,000 — $237,500 USD (base salary); $179,600 — $224,500 USD (base salary)

Tools

CARA, Android, iOS, UA SDK, SKAN, SDK

AI focus

Leads product strategy for AI-powered IAP advertising systems, including machine-learning recommendations, bidding, signal use, and campaign automation.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)