Engineering Manager, AI Data Platforms & Quality

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$237,600–$356,400 / yr
Posted
42 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $297k
$154k most similar roles pay here $378k

This role pays more than 88% of similar roles. Most pay $184,075–$267,446 — the shaded band above. At the midpoint, this role pays about $297k versus about $226k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Engineering Manager, AI Data Platforms & Quality

Engineering Manager, AI Data Platforms & Quality joins the Manufacturing Systems and Infrastructure team to lead a high-performing engineering group focused on building next-generation AI data products and platforms. The role involves defining technical strategy and architecture for transforming enterprise, operational, and multimodal data into trusted assets for GenAI, agentic AI, and embodied AI initiatives. Key responsibilities include developing capabilities for data ingestion, curation, validation, quality management, metadata, and lineage while building RAG pipelines, embeddings, and vector search systems. The candidate will utilize Python, SQL, Spark, Airflow, Kafka, and distributed systems within cloud environments like AWS, GCP, or Azure using Kubernetes and Docker. This position solves the challenge of creating scalable infrastructure to manage the full AI data lifecycle, ensuring high-quality datasets power automated workflows and advanced analytics across manufacturing operations.

What does a Engineering Manager earn in California?

Median $290250 from 64 postings across 19 companies.

See salary data

What you'll do

  • Lead and grow a high-performing engineering team focused on AI data platforms, quality, and GenAI solutions.
  • Define the technical vision, architecture, and roadmap for scalable AI-ready data capabilities.
  • Build reusable platform capabilities for data ingestion, curation, validation, metadata management, and governance.
  • Develop AI-ready datasets to support GenAI, agentic workflows, and embodied AI applications.
  • Enable AI applications through RAG pipelines, embeddings, vector search, and knowledge systems.
  • Establish engineering best practices for scalability, reliability, observability, security, and operational excellence.
  • Partner with cross-functional teams to identify opportunities and deliver impactful AI solutions.
  • Mentor engineers and develop technical talent while fostering a culture of innovation.

What we're looking for

  • Experience leading solution and data engineering teams building large-scale, production-grade systems.
  • Strong background in data engineering, distributed systems, and cloud-based data platforms.
  • Proven experience designing and building scalable data products, pipelines, APIs, and platform services.
  • Expertise in AI data lifecycle management including curation, validation, quality, metadata, lineage, and governance.
  • Proficiency with Python, SQL, Spark, Airflow, Kafka, and modern data lake/lakehouse architectures.
  • Experience with GenAI technologies including LLM applications, RAG architectures, embeddings, and agent workflows.
  • Experience with cloud infrastructure including AWS/GCP/Azure, Kubernetes, Docker, and CI/CD.
  • Ability to define technical strategy, drive architecture decisions, and lead cross-functional collaboration.

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