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Senior Product Manager, Algo & Auctions - Ad Platforms
Apple, Inc. | |
United States, Texas, Austin | |
August 12, 2022 | |
Summary
Posted: Jun 17, 2022 Weekly Hours: 40 Role Number:
200320723 At Apple, we work every day to create products that enrich people's lives. Our Advertising Platform enables people around the world to discover educational and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in the App Store Search and Apple News. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy! We are seeking a premier Senior Product Manager to join the team and lead the next generation of search advertising marketplace. Are you looking for a technically challenging product management position? Do you get excited turning insights from large data sets into product improvements? We are searching for you with a consistent track record of enabling cross-functional teams to deliver complex systems. The ideal candidate would have built products related to online advertising, search, recommendation systems, and human ratings with experience in data driven product management. We are looking for someone who can orchestrate a product plan and schedule, then successfully lead the execution from development to launch and continued optimization and operation of the product. Key Qualifications
Description Accountable for ads relevance product capabilities, features and SLAs Analyze marketplace metrics, propose improvement actions, design, and deploy successful A/B experiments Collaborate with business partners to understand business direction, customer needs, product structure, and requirements Define, prioritize and deliver marketplace product roadmap and product features based on business requirements Oversee the development, delivery, and deployment of solutions This role involves a fair amount of hands-on data analysis on big datasets Education & Experience BS, MS in Computer Science, Statistics, Operations Research, Economics or related areas Additional Requirements |