AIML - Senior Operations Program Manager - Responsible AI and Safety

AppleSan Francisco Bay AreaSenior
Active

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. In this role, you will manage Apple's relationship with internal crowd as well as a portfolio of external vendorpartners spanning evaluation, red-teaming, and data generation. You will own how this work gets resourced, scoped, and executed — from statements of work and workforce calibration to quality audits and ongoing partner performance — ensuring these partnerships can scale reliably as safety evaluation needs grow across products, features, and markets.You will also own the feedback loop and establish the processes that connect Red-Teaming, Evaluation, and Post-Ship Insights groups. Findings surfaced through red-teaming and evaluation need to inform what we monitor once features ship, and post-ship signals need to flow back into how we prioritize and design future red-teaming and evaluation coverage. You will build and operate the mechanisms — shared reporting, recurring syncs, and closed-loop tracking — that keep these three functional areas working from a single, current picture of risk rather than in isolation. Ensuring compliant and timely reporting across Apple Intelligence features is a key element of this role.You will shape the tools and infrastructure roadmap needed to power these functions. This includes maintaining clear, current documentation of processes, systems, and data flows across these functional areas, and identifying and prioritizing the tooling and infrastructure investments needed to support them as they scale — partnering with engineering and technical stakeholders to translate operational needs into build requirements.Lastly, you will also drive the operational scaling of our data infrastructure: how we manage, store, and govern the human-labeled goldsets that underpin safety benchmarking and LLM-judge validation, and how those pipelines extend to new languages, markets, and cultural contexts.