Teams at Moloco

Drive performance improvements for an AI advertising product through large-scale data analysis, metric development, system health evaluation, experimentation, and algorithm improvement. Analyze ad auction and user interaction data, diagnose bidding and machine learning systems, define success metrics, and collaborate with product, engineering, and applied science teams to guide product decisions and improve online prediction reliability, latency, and efficiency.

Lead product strategy and execution for Moloco’s in-app purchase advertising performance systems, including recommendations, bidding, signals, and campaign automation. Define multi-year roadmaps, prioritize performance opportunities, establish measurement and experimentation frameworks, and translate machine learning, data, and infrastructure advances into advertiser outcomes. Partner with engineering, data science, machine learning, product, operations, and go-to-market teams while driving measurable improvements in advertiser scale, ROAS, acquisition costs, and downstream user value.

Own end-to-end development of production-scale AI-powered applications that improve internal workflows and customer experiences. Architect agentic systems, RAG applications, tool-using assistants, evaluation and monitoring platforms, shared APIs, guardrails, and infrastructure. Identify high-leverage opportunities, establish technical standards, influence cross-functional direction, mentor engineers, and operate effectively in a greenfield environment.