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Engineering Manager, AI Data Platforms & Quality

Cupertino

Pay
Pay not listedSimilar roles state $153K–$225K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build and scale foundational capabilities for AI data lifecycle management

  • Deliver scalable AI-powered data products and platforms

  • Partner with AI/ML, product, and business teams to build high-quality data assets

From the employer’s posting
build and scale the foundational capabilities for AI data lifecycle management
delivering scalable AI-powered data products and platforms
close partnership with AI/ML, product, and business teams to accelerate the development of high-quality data assets

What you’ll bring

All qualifications

Core experience

  • Strong engineering leadership experience
  • Deep expertise in data platforms and AI data engineering
  • Knowledge of modern AI application architectures
Qualification wording
strong engineering leader with deep expertise in data platforms
deep expertise in data platforms, AI data engineering, and modern AI application architectures
modern AI application architectures

Posting record

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Status in our records
Live
First seen by us
Aug 11, 2026 · 81 days ago
Recorded sightings
388
Last seen by us
Nov 1, 2026
Employer says posted
Jul 31, 2026

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Job description

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Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Manufacturing Systems and Infrastructure (MSI) team is an engineering organization under the Product Operations org. MSI is responsible for the design, development, and maintenance of systems tools, services, and applications required to efficiently run manufacturing operations at scale across global factory sites. The ideal candidate is a strong engineering leader with deep expertise in data platforms, AI data engineering, and modern AI application architectures. This leader will build and scale the foundational capabilities for AI data lifecycle management—including data ingestion, curation, validation, quality, governance, metadata management, and observability—while delivering scalable AI-powered data products and platforms. Success in this role requires close partnership with AI/ML, product, and business teams to accelerate the development of high-quality data assets that fuel enterprise AI innovation.
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Location & working pattern

Cupertino

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