Product Manager, Apple Ads Privacy

4 Months ago • All levels • $175,800 PA - $312,200 PA
Product Management

Job Description

As a Product Manager at Apple, you will lead the strategy and roadmap for high-impact initiatives at the intersection of privacy and advertising. This involves defining the product vision, developing execution plans, and partnering with leadership to align solutions with evolving user, regulatory, and business expectations. You will collaborate with various teams, including Privacy, Engineering, Data Science, and Legal, to design and implement privacy-preserving features. Responsibilities also include defining and maintaining the product roadmap, establishing KPIs, setting priorities, and driving execution across Ads capabilities. You will leverage data to uncover insights, translate strategies into requirements, and collaborate with engineers for efficient solution delivery. Furthermore, you will work with cross-functional partners to ensure roadmaps align with business goals and deliver great user experiences.
Must Have:
  • Lead strategy and roadmap for privacy and advertising initiatives.
  • Collaborate with cross-functional teams.
  • Define and maintain product roadmap and establish KPIs.
  • Use data to uncover insights and shape product opportunities.

Add these skills to join the top 1% applicants for this job

team-management
cross-functional
product-vision
data-science

Lead strategy and roadmap: Drive high-impact initiatives at the intersection of privacy and advertising. Define product vision, develop execution plans, and partner with leadership to align solutions with evolving user, regulatory, and business expectations. Cross functional Leadership: Collaborate closely with Privacy, Engineering, Data Science and Legal teams and other teams across Apple to design and implement privacy-preserving features. Own Product Development: Define and maintain roadmap, establish KPIs, set clear priorities, and drive execution across different Ads capabilities such as On-device Marketplace, data use for Attribution, Measurement, and Targeting. Data Driven Decision Making: Use data to uncover insights, shape product opportunities, and evaluate impact. Drive Feature execution: Translate strategy into clear requirements and workflows. Partner with engineering to deliver solutions efficiently. Collaborate for Success: Partner closely with engineers, while synthesizing insights from research, customer feedback, platform performance, and sales input to inform strategic priorities. Business Alignment: Work with cross-functional partners to ensure roadmaps align with broader business goals and deliver great user experiences.

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