Manager, Ad Revenue Optimization - Data Science and Engineering
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The role
Lead and grow a hybrid Data Science / ML Engineering team focused on Ads Revenue Optimization, including pricing, packaging, and inventory management. Hire, mentor, and develop talent; define team charter and roadmap; and coordinate with Product, Engineering, Finance, Strategy, and Analytics teams to ensure alignment with business goals. Deliver end-to-end analytics initiatives, develop scalable optimization models and algorithms, and produce trustworthy outputs that drive strategic decisions. The role requires tenacity, resilience, and the ability to blend quantitative rigor with strong communication and stakeholder management. Ideal candidates combine technical excellence with business intuition and a passion for advancing the ads marketplace.
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