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Product Manager - Recommendation Systems



New York, NY, USA
Posted on Tuesday, June 4, 2024


Weekly Hours: 40
Role Number:200522867
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 orchestrate the strategy for our privacy-preserving ads recommendation systems. As the Product Manager, you'll be responsible for ensuring that our platform connects users of Apple products with relevant and impactful advertisements, and conversely, for ensuring our platform helps advertisers grow their businesses efficiently and sustainably by connecting their brands with valuable customers.


- Act as product owner for the ML models underlying our privacy-preserving recommendation systems - Define success criteria and product requirements for our models by cultivating a deep understanding of the relationship between our models and business / customer outcomes - 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 - Synthesize insights from data analysis, customer calls, and sales feedback into clear and concise opportunity areas and develop short-term and long-term roadmaps around these opportunity areas - Collaborate with engineering, data science, and research teams to develop, launch, evaluate, and improve recommendation system models - Collaborate with privacy, engineering, and business teams to develop novel privacy-preserving strategies for collecting information for use in our model - 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

Minimum Qualifications

Key Qualifications

  • 2+ years of Product Management experience
  • Proven experience defining measurable and interpretable success metrics, and rallying cross-functional teams to achieve them
  • Customer-centric mindset, who can define and prioritize use cases and customer objectives
  • Consistent track record of collaborating with engineering and data science teams to develop, launch, and improve ML models
  • Proficiency in SQL, and prior experience analyzing sophisticated, large-scale data sets to form hypotheses, evaluate experiment results, rationalize product opportunities, and measure success
  • Outstanding 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
  • A plus if you have experience working on recommendation systems, or another consumer product that uses ML, and especially in digital advertising. But not a requirement!

Preferred Qualifications

Education & Experience

BS or MS in Computer Science, Statistics, Math, Operations Research, Economics or related areas. Otherwise requires equivalent experience.

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Learn more about your EEO rights as an applicant.