Product Manager, Apple Ads Predictions

Product Manager, Apple Ads Predictions

New York City, New York, United States

Software and Services

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 sizesfrom small app developers to big, global brands. Because when advertising is done right, it benefits everyone. In this role, you will cultivate a deep understanding of the relationship between our machine learning models and business/customer outcomes. Evaluate opportunity areas and create roadmaps for improving the machine learning models underlying our search and recommendation systems. Develop success metrics for efforts to improve our models. Work with the industry's best engineers, data scientists, and researchers to create and assess A/B experiments on new models. Work with privacy, engineering, and business teams to develop novel privacy-preserving strategies for collecting information for use in our models. Experience working on search and/or recommendation systems or another consumer product that uses machine learning is strongly preferred, and experience in digital advertising is a plus.

Minimum Qualifications

• Product Management experience.
• Proficiency in SQL and experience in analyzing complex, large-scale data sets to form hypotheses, evaluate experiment results, justify 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.
• Proven experience in defining measurable and interpretable success metrics and rallying cross-functional teams to achieve them.
• Customer-centric attitude, 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 machine learning models.
• Excels in a fast-paced environment with a high degree of ownership and accountability.
• Bachelor's degree in a relevant field or equivalent experience.

Preferred Qualifications

• 3+ years of Product Management experience.
• Previous experience working on search and/or recommendation systems or another consumer product that uses machine learning.
• Previous experience working in digital advertising and/or familiarity with digital advertising concepts through usage of ad platforms.

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 $147,400 and $272,100, 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 expensesincluding tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.