Job description

The Technical Data Product Manager leads the iCloud data landscape across Apple Media Services — spanning storage, sync, backup and restore, family sharing, cross-device continuity, and iCloud+ subscription telemetry. This role unites iCloud Product, DS&A, Engineering, and Privacy teams to deliver reliable, privacy-compliant data for measurement, analytics, and growth. 5+ years in Technical Product Management, data engineering, or data science, preferably in digital media, cloud storage, or subscription businesses Strong proficiency in SQL; experience with Python and PySpark Deep knowledge of client-server analytics tracking strategies and iCloud instrumentation (storage usage, sync events, backup/restore telemetry, family sharing, cross-device continuity) Hands-on experience with big data technologies (Hadoop, Spark, Vertica, or equivalent) Experience with data pipeline design, ETL development, and data transformation best practices Experience with dataset design, including projections, aggregates, metadata, and reference tables Knowledge of data governance, privacy principles, and global regulatory compliance (e.g. GDPR, DMA) Excellent communication and project management skills; strong analytical mindset with proven ability to deliver complex, cross-functional projects end-to-end Relentless and tenacious approach to solving data engineering challenges — you persist through ambiguity, technical obstacles, and organizational complexity to deliver solutions that support business-critical decisions Familiarity with subscription measurement, plan/tier upgrade funnels, and engagement analytics is a strong plus Bachelor's degree or equivalent work experience in Engineering, Computer Science, or Business Information Systems required 8+ years of experience in technical product management or data engineering, with a track record of owning platform-level data products at scale (billions of events/day) Experience with privacy-enhancing technologies such as differential privacy, federated learning, or on-device computation to enable privacy-compliant measurement at scale Prior experience with cloud storage systems, sync/backup services, or consumer subscription products at a major technology company

Requirements

Must-haves

5+ years in Technical Product Management, data engineering, or data science, preferably in digital media, cloud storage, or subscription businesses
Strong proficiency in SQL; experience with Python and PySpark
Deep knowledge of client-server analytics tracking strategies and iCloud instrumentation (storage usage, sync events, backup/restore telemetry, family sharing, cross-device continuity)
Hands-on experience with big data technologies (Hadoop, Spark, Vertica, or equivalent)
Experience with data pipeline design, ETL development, and data transformation best practices
Experience with dataset design, including projections, aggregates, metadata, and reference tables
Knowledge of data governance, privacy principles, and global regulatory compliance (e.g. GDPR, DMA)
Excellent communication and project management skills; strong analytical mindset with proven ability to deliver complex, cross-functional projects end-to-end
Relentless and tenacious approach to solving data engineering challenges — you persist through ambiguity, technical obstacles, and organizational complexity to deliver solutions that support business-critical decisions
Familiarity with subscription measurement, plan/tier upgrade funnels, and engagement analytics is a strong plus
Bachelor's degree or equivalent work experience in Engineering, Computer Science, or Business Information Systems required
8+ years of experience in technical product management or data engineering, with a track record of owning platform-level data products at scale (billions of events/day)
Experience with privacy-enhancing technologies such as differential privacy, federated learning, or on-device computation to enable privacy-compliant measurement at scale
Prior experience with cloud storage systems, sync/backup services, or consumer subscription products at a major technology company

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: apple
Effort: medium