Technical Product Manager - Productivity

Cupertino, CA
  • Job Code


Posted: May 6, 2019

Role Number: 200058391

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 increase 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 meaningful role in building 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 engineering teams to design, build, and deploy frameworks and tools that scale with the platform and user base. You are responsible for the evaluation and deployment of tools and strategies 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, preferably in a big data / analytics environment
  • Strong prioritization and project management skills, including timely and dedicated communication of timelines, status, and critical issues
  • Excellent 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
  • We seek 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
  • Experience in data strategies related to sampling, data staging, and aggregation
  • Experience in crafting features related to enrichment, aggregation, sessionization, and funnels
  • Full product lifecycle management experience, including user acceptance testing, launch, and end of life processes

• Meet frequently with data analytics, data science teams 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 cross-functional teams developing strategy, vision, and execution plan, including articulating the design and usability of tools
• Specify and implement data governance and quality controls throughout the data pipeline to measure data quality and detect anomalies
• Actively monitor and research changes and advances in big 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.

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Technical Product Manager - Productivity

Apple, Inc.
Cupertino, CA

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