Technical Data Product Manager, iCloud Data at Apple in Culver City

Job description

• Posted:
• Sep 22, 2026
• 40
• 200684666
• At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. If you are a self-motivated, high-energy individual who is not afraid of challenges, we're looking for you. Apple Media Services is seeking a proven Technical Data Product Manager to lead iCloud data collection and dataset strategy for Apple Services.
• 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.

Responsibilities

• Own the iCloud data collection roadmap — identifying gaps, prioritizing instrumentation, and driving delivery with Client Engineering, Data Engineering, and Server Engineering teams
• Partner with iCloud Product, Data Science & Analytics, and Business Intelligence teams to understand measurement needs; lead cross-functional instrumentation efforts ensuring consistent coverage of iCloud touchpoints including storage tier upgrades, sync and backup flows, family sharing, cross-device continuity, and iCloud+ upsell journeys
• Ensure data collection adheres to Apple's privacy standards and global regulations; proactively incorporate new requirements into data design
• Enrich iCloud event data into downstream warehousing environments; design a scalable data strategy supporting iCloud use cases across Apple Media Services' ecosystem
• Develop and maintain data taxonomy frameworks for iCloud instrumentation — standardizing event schemas, subscription state models, and reporting structures
• Define and own data contracts with engineering partners to ensure accuracy, completeness, and timeliness of iCloud data
• Perform root-cause analysis to troubleshoot data quality issues; continuously improve the data landscape by introducing new capabilities and optimizing storage costs
• Identify and evaluate opportunities to apply generative AI and emerging technologies to iCloud data workflows — driving innovation, accelerating insights, and delivering increased business value across Apple Media Services

Requirements

• 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

Skills

Required

• SQL
• Python
• PySpark
• Hadoop
• Spark
• Vertica
• Data pipeline design
• ETL development
• Data transformation
• Dataset design
• Data governance
• Privacy principles

Preferred

• Cloud storage systems
• Sync/backup services
• Consumer subscription products

Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $250,700, and your base pay will depend on your skills, qualifications, experience, and location.
• Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
• Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.