About the role
Description
We are looking for a highly technical Senior Mobile Monetization Engineer to own and optimize the entire monetization infrastructure across our mobile applications. You will build, improve, and scale our ad-monetization stack to maximize revenue, fill rate, eCPM, and advertiser demand — working at the intersection of backend, mobile SDKs, mediation platforms, and real-time optimization, on systems that directly impact millions of users and significant revenue.
Responsibilities:
Design, develop, and optimize the core monetization infrastructure across multiple mobile applications.
Improve ad waterfall and bidding performance to maximize eCPM, fill rate, ARPDAU, and total ad revenue.
Integrate and optimize mediation platforms (AppLovin MAX, AdMob, LevelPlay, etc.).
Build intelligent optimization systems for ad placement, frequency, segmentation, and pricing.
Develop backend services and automation tools for real-time monetization decisions.
Analyze monetization performance using large-scale data and implement data-driven improvements.
Optimize SDK integrations, latency, memory usage, and overall ad performance.
Work closely with Growth, Product, and Data teams to continuously increase LTV and user monetization.
Research and implement new monetization technologies, bidding strategies, and demand sources.
What you'll own:
Increase overall monetization performance across millions of users.
Maximize fill rate, eCPM, advertiser competition, and total revenue.
Build the next generation of the monetization engine using automation and AI.
Deliver measurable business impact through engineering excellence.
Requirements
Must-have skills:
Ad-monetization domain (25%) — deep understanding of RTB, Header Bidding, Waterfalls, Fill Rate, eCPM/CPM optimization, and advertiser demand.
Ad mediation platforms + mobile advertising SDKs (20%) — hands-on integration and optimization.
Software development (20%) — strong backend, distributed systems, APIs, and performance optimization.
Mobile development (15%) — Android and/or iOS.
Analytical, data-driven optimization (12%) — analyze large-scale monetization data and implement data-driven improvements.
High-scale consumer app experience (8%) — experience with high-scale consumer applications reaching millions of users.
Nice-to-have skills:
Hands-on with AppLovin MAX, Google Ad Manager, AdMob, Unity Ads, or IronSource.
Building internal optimization engines using AI or Machine Learning.
Familiarity with attribution, user segmentation, A/B testing, and predictive monetization models.
Originally posted on Himalayas