We’re looking for a Technical Product Manager to join our Partner Data and Analytics team in Cupertino. You’ll work with peers from a diverse set of product and engineering teams to design, build, and launch innovative data products that exceed industry standards and provide Developers with clear, accurate, and actionable insights. In this role, you’ll combine your passions for apps and data to chart a strategic course and lead similarly passionate people at all levels, and you’ll be part of the team responsible for building the reporting and data systems used globally by our partners across a wide range of content types, including apps, music, film and books.
Drive the vision, strategy, and overall success for App Store developer data tools and analytics, conceptualizing a compelling data product roadmap and delivering clear specifications
Collaborate with peers from product, analytics, engineering, and operations to solve complex and challenging problems with data and to deliver new and innovative developer-facing data products, features, and enhancements
Design and oversee innovative and scalable systems to turn large amounts of data into clear, accurate, and compelling insights for developers
Work closely with engineering teams to implement and iterate on these new features and enhancements, turning your ideas into code that lasts
Meet directly with developers to identify ways to improve our data tools and anticipate needs by understanding industry trends
Description
• A deep understanding of developers, a passion for apps, and past experience designing and building customer-facing data tools, reporting systems, and APIs in a product manager role is a must
• A proven ability and the perseverance to independently drive a technical product roadmap and to deliver innovative and scalable data products in a fast-paced, cross-functional environment while managing multiple projects and responsibilities
• An ability to clearly and effectively communicate and manage relationships with a diverse group of internal and external stakeholders, both in person and in written and presentation form
• A demonstrated ability to query large datasets using SQL, Hive, Python, or similar languages and to distill your findings into easy-to-understand analyses
• A nagging intellectual curiosity and an extreme attention to detail that drives you to self-audit your work, understand complex systems, and push the limits with data
Education
Bachelor’s degree
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