Productivity Technical Product Manager - Apple Media Products

Santa Clara Valley (Cupertino), California, United States
Software and Services


Posted: Oct 29, 2018
Role Number: 200005377
Apple is seeking a proven big-data Product Manager (PM) to plan and deliver tools, systems, environments and engineering driven big-data products. The key objective is to improve efficiency and effectiveness of analytics/data science teams using the platform. This new position will join the Apple Media Products (AMP) Analytics Product team. As the PM for the big-data analytics and data science productivity, you will play a substantial role in crafting and delivering a data and tools strategy that enable big data analytics teams to deliver insights and data driven features. You will bridge the gap between data science, analytics, and data teams to design, build, and deploy frameworks, and environments that scale with the platform and user base. You are responsible for the evaluation and deployment of strategies and tools targe datasets to enable access to data that is timely, easy-to-manage, and re-usable by teams across the organization.

Key Qualifications

  • 4+ years of hands-on experience in building datasets in a big data environment using analytics tools
  • 2+ years of product management and/or related program/project management experience in a high-tech company
  • We are seeking strong prioritization and project management skills, including timely and dedicated communication of timelines, status, and issue concerns
  • Superb communication skills, both written and oral, including the ability to convey complex requirements in a clear, concise, and credible manner
  • Extreme attention to detail and ability to self-audit work
  • Knowledge and understanding of data management, data governance, and data quality
  • Significant hands-on experience and fluency with big data and traditional database technologies (HDFS, Cassandra, Vertica, and traditional database platforms such as Teradata)
  • Technical experience with analytical tools, methodologies and design, such as:
  • Tools: R, Python, Scala, and Apache Spark
  • Notebook technologies: Jupyter, iPython, and Zeppelin
  • Libraries: Pandas, Scikit-learn, Tensorflow, and Keras


Meet frequently with data analytics, data science and data engineering team to develop a keen understanding of their functional process and needs Identify, evaluate and recommend tools and environments to enable data analysis, modeling and prototyping, including driving deployment of new data features Partner with multi-functional teams to develop strategy, vision, and execution plan, including articulating the design and usability of tools and features Specify and implement data governance and controls for quality of data throughout the data pipeline to measure data quality and detect anomalies Actively monitor and research changes and advances in data processing, analysis and solutions to share with various partners at Apple

Education & Experience

Bachelor's degree Engineering, Computer Science, or Business Information Systems, or equivalent work experience.

Additional Requirements

  • Preferred Qualifications
  • Experience in data strategies related to sampling, data staging, and aggregation
  • Experience in creating features related to enrichment, aggregation, sessionization, and funnels
  • Full product lifecycle management experience, including user acceptance testing, launch, and end of life processes