Product Manager, Apple Ads Experimentation

Apple • Cupertino, CA

76d

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 are looking for a highly technical product manager to shape the future of our experimentation platform, empowering teams to innovate with confidence. This role will partner with engineering, data science, and product teams to deliver a world-class experimentation platform that accelerates innovation, improves user experiences, and drives business impact. With a focus on scalability, usability, and advanced analytics, you will shape how various teams test and iterate on features to deliver value to Apple Ads stakeholders.

Requirements

• Experience in advertising technology including platforms (ad exchange, or supply side platform), ad networks, and search advertising.
• Experience building incrementality measurement solutions.
• Expertise in ad optimization algorithms and digital marketplaces.

Responsibilities

• Define product vision, roadmap, and requirements for Apple Ads experimentation platform.
• Define key metrics to measure success of the platform.
• Implement and rapidly iterate on the roadmap towards the vision in collaboration with product, UX, engineering, and data science teams.
• Develop statistical frameworks and processes designed to analyze experiments to enable fast, reliable and accurate decision-making.
• Collaborate with engineering to integrate statistical algorithms and new metrics into our experimentation platform.
• Develop automated solutions for experiment diagnostics, anomaly detection, and guardrail monitoring.
• Communicate statistical concepts to partners, including product managers, data science, and engineering teams.
• Define standard methodologies and frameworks for trustworthy online controlled experiments; drive cultural adoption of data-driven decision making across product and engineering teams.

What This Job Offers

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