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Salary
≈ $194k – $355k per year (Estimated)
Location
In office (Culver City)
Seniority
Staff · 8+ years exp
Visa
H-1B filings in 12 months: 6,350 · for this role: 580 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Sep 22, 2026. Apple scores A on the Alion truth index.

Overview
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Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

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.

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.

Minimum Qualifications

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

Preferred Qualifications

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

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