Product Manager, Apple Ads Auctions

Apple • New York City, NY

79d

About The Position

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. We're looking for a world-class Product Manager to spearhead our auction strategy and maximize advertiser value, end-user experience, and platform monetization for sustained marketplace growth. If you're passionate about using data-driven insights to shape product strategy and thrive in a high-accountability, fast-paced environment, we want you!

Requirements

• 3+ years of Product Management experience, preferably in search or digital advertising technologies.
• Expertise in ad optimization, including auction, ranking, pricing, and inventory allocation algorithms.
• Ability to define success metrics, track post-launch progress, and craft long-term improvement strategies.
• Analytical and proactive mindset to establish a framework for making effective business tradeoffs.

Nice To Haves

• Experience working on auction, ranking, pricing, and/or yield management systems.

Responsibilities

• Collaborate with business, sales, and product teams to understand business goals 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.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees