Job Overview:
The ML Data Operations Manager at Apple will spearhead complex, multi-stakeholder operations supporting data collection, curation, annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books. This role involves defining and executing operational strategies for sourcing and annotating high-quality datasets, leading global day-to-day operations across multiple programs, and managing relationships with external vendors and internal partners. The manager will set and track KPIs/OKRs for throughput, SLA, cost, and quality, while developing scalable workflows and QA frameworks. Additionally, they will partner with ML Engineers and data science teams to deliver production-ready datasets, influence tooling and platform strategy, and champion responsible AI practices and data governance throughout the annotation lifecycle. The ideal candidate has 7+ years of experience in data operations or program management, with at least 3+ years in a managerial role, and a strong background in vendor management and cross-functional leadership.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the ML Data Operations Manager position at Apple, focus on highlighting your experience in managing large-scale data operations and vendor relationships. Emphasize any roles where you led high-throughput data annotation or evaluation programs, particularly in AI/ML or media domains. Quantify your achievements, such as improvements in throughput, cost efficiency, or quality metrics. Showcase your cross-functional leadership skills by detailing collaborations with engineering, legal, procurement, and product teams. If you have experience with multilingual projects or international vendors, be sure to include that as well. Your resume should reflect your analytical mindset, so mention any dashboards, metrics, or reporting tools you’ve used to drive operational excellence. Finally, align your resume with Apple’s focus on responsible AI and data governance by highlighting relevant initiatives or compliance measures you’ve implemented.
During the interview, expect questions about your experience in managing large-scale data operations and vendor relationships. Be prepared to discuss specific examples of how you’ve led data annotation or evaluation programs, including challenges you faced and how you overcame them. The interviewer will likely probe your cross-functional leadership skills, so have stories ready about collaborating with engineering, legal, and procurement teams. You may also be asked about your approach to setting and tracking KPIs, so think about how you’ve used metrics to drive operational improvements. Given Apple’s emphasis on responsible AI, be ready to discuss your understanding of privacy, security, and compliance in data workflows. Practice articulating your strategic thinking and problem-solving abilities, as the role requires navigating ambiguous, fast-paced environments. Finally, demonstrate your passion for Apple’s media products and your ability to mentor and grow a team.