Summary

　　Posted: Oct 17, 2023

　　Weekly Hours: 40

　　Role Number:200508304

　　At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both customers and advertisers - helping people discover content, supporting creators, and protecting and respecting everyone's privacy. Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery across the App Store. Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content from the world's best journalists. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with passionate fans. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone. We're looking for a world-class Product Manager to spearhead our yield management strategy and maximize advertiser value, end-user experience, and platform monetization for sustained marketplace growth. If you're passionate about leveraging data-driven insights to shape product strategy and thrive in a high-accountability, fast-paced environment, we want you! The ideal candidate has expertise in ad optimization, including auction, ranking, pricing, and inventory allocation algorithms. In addition, the ideal candidate excels at defining success metrics, tracking post-launch progress, and crafting long-term improvement strategies. We are seeking an analytical and proactive Product Manager to establish a framework for making effective business tradeoffs and collaborate with engineering teams to develop, test, and launch innovative products and features aligned with these tradeoffs.

　　Key Qualifications

　　Key Qualifications

　　Minimum of 2 years of Product Management experience, preferably in digital advertising technologies (auction, ranking, pricing, inventory allocation, or yield management) Proven experience in defining measurable and interpretable success metrics and rallying cross-functional teams to achieve them Customer-centric mindset, with the ability to define and prioritize use cases and customer objectives Strong track record of collaborating with engineering and data science teams to develop, launch, and improve ad optimization algorithms Proficiency in SQL and experience in analyzing complex, large-scale data sets to form hypotheses, evaluate experiment results, identify product opportunities, and measure success Exceptional written and verbal communication skills, with the ability to clearly and concisely convey results and opportunity areas to cross-functional teams and leadership Proactive, curious, and excels in a fast-paced environment with a high degree of ownership and accountability

　　Description

　　Description

　　- Define product success criteria, establish a framework for making business tradeoffs, and develop strategy to drive sustainable improvements to marketplace health by balancing business, advertiser, and user needs. - Collaborate with business, sales, and product teams to understand business objectives and specific customer segments' needs - Define the product vision, breakdown complex problems into creative, short-term and long-term solutions, and take ownership of prioritizing and driving quarterly improvements to key business metrics - Formulate clear and measurable hypotheses for how to improve success metrics, work with engineering and data science teams to test hypotheses, and make decisions based on experiment results - Collaborate with engineering and data science teams (including Ad Serving, Experimentation, and Privacy) to develop, launch, evaluate, and improve ranking, pricing, and inventory allocation algorithms. - Produce high-quality 1-pagers, product requirements, and presentations, to convey opportunity areas, experiment results, recommendations, and product strategy to cross-functional teams and leadership on a regular basis

　　Education & Experience

　　Education & Experience

　　BS or MS in Computer Science, Statistics, Math, Operations Research, Economics, or related areas

　　Additional Requirements

　　Additional Requirements

　　Pay & Benefits

　　Pay & Benefits

　　At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $138,900 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.

　　Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

　　Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.