Product Manager, Apple Ads Predictions

Act as product owner for the machine learning models underlying our privacy-preserving search and 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.

• Act as product owner for the machine learning models underlying our privacy-preserving search and 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 search and 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

• 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

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary bonuses or commission payments
• Relocation assistance

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.