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Sr Manager ML Data Operations, Apple Services Engineering
full-time•San Francisco
About this role
At Apple, we don’t just build products — we build experiences fueled by world-class data. The Human-centered AI team within Apple Services Engineering is looking for a Senior Operations Leader to spearhead complex, multi-stakeholder operations supporting data collection, curation, annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books.
In this role, you’ll own the operational strategy and day-to-day execution for large-scale, multilingual data pipelines, working at the intersection of engineering, privacy, legal, and vendor management. You will drive cross-functional alignment, set clear goals and SLAs, and implement best-in-class processes to deliver high-quality, responsible AI data at scale.
7+ years of experience in data operations, program management, or vendor strategy, with at least 3+ years in a managerial role. Proven track record leading large-scale, high-throughput data annotation/evaluation programs in AI/ML or media domains. Proven experience in vendor management: contract negotiations, performance tracking, and conflict resolution. Strong cross-functional leadership and stakeholder management across engineering, legal, procurement, and product teams. Experience using dashboards, metrics, and reporting tools to drive operational excellence. Comfortable working across ambiguous, fast-paced environments with changing priorities and requirements. BS or MS degree in engineering, science or computer science or equivalent
Familiarity with human-in-the-loop evaluation, data quality frameworks, and annotation tooling platforms. Understanding of privacy, security, and compliance considerations in data sourcing and annotation workflows. Experience with Apple media products or deep interest in music, entertainment, or digital content services. Experience scaling operations across international vendors and multilingual projects.
Description
In this role, you’ll own the operational strategy and day-to-day execution for large-scale, multilingual data pipelines, working at the intersection of engineering, privacy, legal, and vendor management. You will drive cross-functional alignment, set clear goals and SLAs, and implement best-in-class processes to deliver high-quality, responsible AI data at scale.
Minimum Qualifications
7+ years of experience in data operations, program management, or vendor strategy, with at least 3+ years in a managerial role. Proven track record leading large-scale, high-throughput data annotation/evaluation programs in AI/ML or media domains. Proven experience in vendor management: contract negotiations, performance tracking, and conflict resolution. Strong cross-functional leadership and stakeholder management across engineering, legal, procurement, and product teams. Experience using dashboards, metrics, and reporting tools to drive operational excellence. Comfortable working across ambiguous, fast-paced environments with changing priorities and requirements. BS or MS degree in engineering, science or computer science or equivalent
Preferred Qualifications
Familiarity with human-in-the-loop evaluation, data quality frameworks, and annotation tooling platforms. Understanding of privacy, security, and compliance considerations in data sourcing and annotation workflows. Experience with Apple media products or deep interest in music, entertainment, or digital content services. Experience scaling operations across international vendors and multilingual projects.
What you'll do
- Own the operational strategy and execution for large-scale, multilingual data pipelines. Drive cross-functional alignment and implement processes to deliver high-quality AI data.
About Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
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Frequently Asked Questions
What does a Sr Manager ML Data Operations, Apple Services Engineering do at Apple?
As a Sr Manager ML Data Operations, Apple Services Engineering at Apple, you will: own the operational strategy and execution for large-scale, multilingual data pipelines. Drive cross-functional alignment and implement processes to deliver high-quality AI data..
Is the Sr Manager ML Data Operations, Apple Services Engineering position at Apple remote?
The Sr Manager ML Data Operations, Apple Services Engineering position at Apple is based in San Francisco, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Sr Manager ML Data Operations, Apple Services Engineering position at Apple?
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