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AIML - Senior Operations Program Manager - Responsible AI and Safety

Apple · San Francisco Bay Area · Posted 2026-08-17

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Job description

At Apple, we don't just build products — we build experiences fueled by world-class data. The Responsible AI team is looking for a senior operations program manager to own the partnerships, vendor relationships, and data operations behind our Safety Evaluation and Red Teaming programs, scaling the human-labeled data, workforce, and localizationinfrastructure that generative AI features across our Software ecosystem. Minimum Qualifications: Bachelor's degree in a related field5+ years of experience in vendor/partner management, data operations, or program management, ideally supporting ML/AI evaluation, annotation, or data labeling programs Demonstrated experience managing external vendor relationships and/or internal annotation operations partnerships at scale, including statements of work, budget, and performance management Experience scaling human-labeled data pipelines, including dataset creation, quality calibration, storage, and governance Experience standing up or scaling operations across multiple international markets, including working with multilingual and multicultural vendor workforces Experience coordinating across functionally distinct but interdependent teams to close feedback loops and keep shared priorities aligned Experience owning documentation and translating operational needs into tooling or infrastructure roadmaps, partnering with engineering to scope and prioritize build work Strong ability to think strategically about operational tradeoffs while managing multiple concurrent initiatives in a fast-paced, evolving environment Proven track record managing budgets and vendor relationships at scale Proficiency with data tools (e.g., SQL, spreadsheets/BI tools) sufficient to track vendor performance, cost, and data quality metrics Excellent written and verbal communication skills, with demonstrated ability to translate operational risk and status for both technical and non-technical stakeholders Preferred Qualifications: Experience managing vendor or annotation partnerships specifically for AI safety evaluation, red-teaming, or Responsible AI programs Familiarity with goldset design, labeling guidelines, or LLM-judge/evaluation workflows sufficient to partner effectively with technical teams Experience building internationalization or localization operations for data labeling or evaluation programs Familiarity with regulatory frameworks relevant to AI safety and content risk across international markets Demonstrated success building operations or vendor programs from the ground up, including establishing new processes or partner relationships Executive presence and experience presenting operational risk assessments and scaling plans to senior leadership