Product Manager, Apple Ads Campaign Optimization at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Strategy, Product Development, Automation, Customer Empathy, Analytical Rigor, AI-Driven Products, Data Driven Insights, Zero-to-One Products, Data Analytics, Experiment Design, SQL, Ad Optimization Algorithms, Auto-Bidding, Budget Optimization, Machine Learning

Industry

Computers and Electronics Manufacturing

Description

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. Are you passionate about shaping the future of advertising technology? We are seeking a dynamic Product Manager for our Campaign Optimization team. You'll drive the development product strategy and development of automation products of that help our advertisers be successful on our platform. You’ll pair customer empathy with analytical rigor to form hypotheses and influence the direction of our AI-driven products, directly impacting thousands of brands and the future of digital advertising at Apple. If you're driven by leveraging data driven insights to bootstrap zero-to-one products and creating solutions that impact customer and business outcomes, we want you to lead with us. DESCRIPTION * Collaborate with cross-functional teams to define and achieve success metrics for optimizing advertiser campaigns * Lead product strategy and execution from concept to launch, leveraging data analytics to inform decisions * Develop hypotheses and evaluate them through data-driven insights and customer feedback * Assess technical and non-technical trade-offs for product decisions and communicate findings across teams and to executives * Work closely with engineering teams to test and launch new products and features, focusing on customer-centric solutions * Engage with stakeholders, conduct complex data analysis paired with experiment design, define product use cases, and drive projects that transform advertising experiences while upholding our commitment to privacy MINIMUM QUALIFICATIONS Bachelor’s degree in a relevant field or equivalent experience Demonstrated ability to define measurable success metrics and lead teams to deliver results Exceptional written and verbal communication skills, with the ability to clearly and concisely convey results and opportunity areas to cross-functional teams and leadership Excels in a fast-paced environment with a high degree of ownership and accountability Proficiency in SQL and experience in analyzing complex, large-scale data sets to form hypotheses, justify product opportunities, and measure success Experience collaborating with engineering and data science teams for product development PREFERRED QUALIFICATIONS At least 2 years of experience in product management within digital advertising technologies Expertise in ad optimization algorithms and digital marketplaces, specifically in building auto-bidding and budget optimization systems Proven track record of launching and enhancing advertising products Background in Statistics, Experimentation, Machine Learning, and AI

Responsibilities

The Product Manager will collaborate with cross-functional teams to define success metrics for optimizing advertiser campaigns and lead product strategy and execution from concept to launch, using data analytics to inform decisions. They will also develop and evaluate hypotheses using data-driven insights and customer feedback while working closely with engineering teams.