Senior Engineering Manager, Apple Data Platform jobs in United States
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Apple · 13 hours ago

Senior Engineering Manager, Apple Data Platform

Apple is seeking a Senior Engineering Manager to lead the team building foundational systems and services for their AI and Data governance platform. This role focuses on managing Big Data, ML infrastructure, and Generative AI, ensuring compliance with regulations while enhancing AI/ML development across the organization.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Lead the design and delivery of core systems and services that enable governance of Apple’s data management and machine learning solutions, spanning the full ML lifecycle — from experimentation to large-scale training and deployment
Define and execute a forward-looking technical vision, with a strong understanding of emerging trends in AI, generative models, and data-centric machine learning
Deliver large-scale distributed systems and ML/data infrastructure into production environments
Lead, mentor, and scale high-performing infrastructure and platform teams
Build reliable, scalable systems with high availability, strong performance, and an excellent developer experience
Navigate complex, cross-functional environments and manage expectations across multiple stakeholders and partner teams
Articulate technical strategy, trade-offs, and impact to diverse audiences, including senior leadership
Partner effectively with recruiting to attract, assess, and grow top technical talent
Balance long-term strategic investments with near-term delivery
Lead teams through fast-paced, evolving problem spaces

Qualification

AI governanceBig Data managementML infrastructureDistributed systemsCompliance regulationsScalable systemsTechnical leadershipBusiness acumenMentoring teamsCommunicationCross-functional collaboration

Required

Proven ability to define and execute a forward-looking technical vision, with a strong understanding of emerging trends in AI, generative models, and data-centric machine learning
Strong understanding of governance and compliance trends and regulations for data and AI
Demonstrated experience delivering large-scale distributed systems and ML/data infrastructure into production environments
Strong track record of leading, mentoring, and scaling high-performing infrastructure and platform teams
Deep passion for building reliable, scalable systems with high availability, strong performance, and an excellent developer experience
Experience navigating complex, cross-functional environments and managing expectations across multiple stakeholders and partner teams
Excellent communication skills, with the ability to clearly articulate technical strategy, trade-offs, and impact to diverse audiences, including senior leadership
Proven ability to partner effectively with recruiting to attract, assess, and grow top technical talent
Strong business acumen and results-driven mindset, with the ability to balance long-term strategic investments with near-term delivery
Comfortable operating in ambiguity, taking initiative, and leading teams through fast-paced, evolving problem spaces
B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience

Preferred

Experience building platforms that enable Data/AI governance and/or Responsible AI at scale
Experience designing or operating high-performance data access paths for ML training and supervised fine-tuning
Background working with ML practitioners, data scientists, and researchers to translate research needs into scalable production systems
Experience operating ML Ops infrastructure across heterogeneous environments, including on-prem, hybrid, or multi-cloud deployments
Strong perspective on where ML platforms and AI infrastructure are headed, and the ability to adapt platform strategy as the ecosystem evolve

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase