Senior Manager - AI Data Operations

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
88 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $209k
$160k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $171,500–$246,150.

Based on 240 similar postings.

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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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Senior Manager - AI Data Operations

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As a Senior Manager of AI Data Operations at Apple’s Retail Decision Automation team, you will lead an organization of domain experts in developing scalable annotation programs that balance accuracy and speed while maintaining quality standards. Your day-to-day responsibilities include designing robust audit pipelines, tooling strategies, and performance metrics, collaborating closely with Engineering, Data Science, and Programs teams to translate system requirements into actionable plans. You will drive the evolution of auditing processes for training, evaluation, and red-teaming, communicate roadmap and risks to executive stakeholders, and develop automation and data augmentation strategies that scale your team’s impact. This role requires a strong background in AI data operations or ML program leadership, with experience managing large-scale annotation teams and a deep understanding of the machine learning lifecycle. You will work within Apple's inclusive culture to deliver production-grade solutions that power Retail initiatives aimed at enhancing customer experiences.

Skills

Python SQL ML frameworks CI/CD Kubernetes AWS GCP Azure Docker Terraform Prometheus PostgreSQL Redis Git Jenkins Scikit-learn TensorFlow PyTorch Spark MLOps

What you'll do

  • Own end-to-end data annotation and system audit operations, ensuring strategy, workflow designs, execution, and performance optimization.
  • Design quality frameworks including gold sets, inter-rater reliability systems, audits, and error taxonomies.
  • Operationalize auditing processes for training, evaluation, and red-teaming activities.
  • Partner with Engineering teams to build out supporting roadmaps based on evolving system requirements.
  • Drive the evolution of tooling strategies, automation, and active learning pipelines.
  • Communicate roadmap, risks, and performance metrics to executive stakeholders effectively.

What we're looking for

  • MS in Computer Science, Statistics, Applied Math, or related field required.
  • 8+ years of people management for analysis-related teams.
  • 10-12 years of AI data operations or ML program leadership experience.
  • Proven ability to lead large-scale annotation and data operations teams.
  • Strong track record building scalable quality systems in high-growth environments.
  • Deep understanding of the ML lifecycle, model evaluation metrics, and feedback loops.

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