Apple
Senior Engineering Program Manager, Lead , Service Special Projects
$176K–$312K
Cupertino, California · Manager · Full-time · Posted Oct 28, 2026
- Experience
- 10+ years overall, including at least 3+ years in a lead or principal-level capacity; 5+ years leading AI-first programs end to end.
- Education
- BS in Computer Science, Engineering, or a related technical field, or equivalent experience; advanced degree preferred.
About the job
Leads end-to-end program management for a large, cross-functional engineering initiative spanning client software, backend services, data systems, applied machine learning, evaluation, tooling, and platform engineering.
What you'll do
- Own the plan of record, including roadmap, milestones, dependencies, risks, executive updates, and operating cadence.
- Coordinate engineering, research, design, and business teams; identify program drift and drive corrective action.
- Mentor junior EPMs and improve program-management practices, progress tracking, and communication.
What they ask for
- 10+ years developing program plans and managing complex cross-functional engineering programs in a technical product environment, including 3+ years in a lead or principal-level capacity.
- 5+ years leading AI-first programs end to end, where machine-learning or large-language-model systems deliver core product value.
- Experience leading programs spanning multiple engineering disciplines, including client, services, data, applied ML, platform, and tooling.
- Technical depth to read design documents, follow architectural discussions, reason about trade-offs and risks, and understand AI model training, evaluation, metrics, data pipelines, and latency/cost trade-offs.
Nice to have
- Advanced degree.
- Experience landing AI/ML capabilities in production and owning plans of record for large programs.
Pay
$175,500 to $311,700 USD base salary
Tools
client software, backend services, large-scale data systems, applied machine learning, large-language-model systems, model training and evaluation lifecycles, data pipelines, tooling
AI focus
Leads AI-first programs involving machine-learning or large-language-model systems, including planning, scoping, evaluation, and quality considerations; preferred experience includes moving AI/ML capabilities from research prototypes into production.
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