Own the vision, strategy, and roadmap for Fetch’s ML-driven ads ranking and personalization systems across all surfaces. Define the optimization framework balancing Fetch’s goals, advertiser objectives, and consumer experience ensuring ranking improves overall marketplace health. Design the architecture and boundaries between the ad server and ML systems, determining what logic, signals, and controls live in each layer and how they integrate end-to-end. Partner with cross-functional PMs to translate advertiser outcomes (e.g., reach, ROAS, purchases) into ranking objectives and optimization strategies. Lead the development of ranking models, signals, and infrastructure, including feature strategy, real-time scoring pipelines, and online/offline evaluation. Establish rigorous experimentation and evaluation frameworks, driving measurable improvement in relevance, personalization, and advertiser ROI. Collaborate deeply with Engineering, ML, Analytics, Sales, and GTM to prioritize, execute, and continuously iterate on ranking and personalization capabilities.