AI Program Manager Jobs at Apple with Visa Sponsorship
AI Program Manager roles at Apple sit at the intersection of machine learning infrastructure and cross-functional product delivery, requiring both technical fluency and organizational leadership. Apple has a consistent track record of sponsoring work visas for this function, supporting candidates across multiple visa categories from initial OPT through permanent residence.
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Are you ready to take a pivotal role in shaping Apple’s next-generation products by driving the adoption of machine learning and equipping engineering teams with robust data insights? Join the Apple Data Platform EPM team as a Senior Program Manager, focusing on Machine Learning Infrastructure and data platform products. You’ll play a critical role in shaping and scaling the platform that powers AI application development across Apple.
The Apple Data Platform team powers GenAI, ML, data analytics, and exploration platforms that fuel the App Store, Music, Search, Maps, iCloud and many other beloved products in the Apple ecosystem. Our mission is to provide ML engineers and data scientists with an innovative, reliable, secure, and user-friendly platform for ingesting, storing, processing, and interacting with data, ultimately helping teams derive insights that drive product success.
Description
In this role, you’ll oversee a platform responsible for secure data ingestion, storage, management, feature engineering, real-time and batch processing, data transformation, and analytics, among other critical functions. This infrastructure enables Apple’s engineering teams to manage the ML lifecycle effectively, supporting model training and enhancing product quality to deliver a seamless, privacy-centric experience to Apple customers. You’ll collaborate extensively with cross-functional partners within and beyond the AI/ML landscape, defining and delivering impactful ML and data platform products that meet Apple’s organizational needs. With a deep understanding of user needs, you’ll own complex challenges, exploring all facets of business opportunities, and connecting insights across roles and functions to drive innovative solutions.
Responsibilities
-
Drive Program Roadmap and Strategy: Define and execute the roadmap for scalable, privacy-preserving ML infrastructure and data platforms, empowering Apple’s development teams to efficiently ingest, store, process, transform, and analyze data for machine learning and analytics.
-
Program Ownership and Use Case Identification: Proactively engage with internal partners to identify high-impact use cases, build strong business cases, and define detailed requirements and product specifications. Lead cross-functional discussions with stakeholders to prioritize and establish a strategic program roadmap.
-
Establish and Maintain Feedback Loops: Develop and sustain a robust feedback loop with stakeholders, partners, and users to drive iterative improvements, ensuring that products continuously evolve to meet user needs and program objectives.
-
Define Success Metrics: Develop and monitor key product metrics that align with broader ASE product goals, enabling clear measurement of data platform success and impact.
-
Champion Product Adoption and Evangelism: Act as a primary advocate for data products, leading efforts to promote platform adoption, ensuring awareness, and aligning stakeholders on the platform’s value across the organization.
-
Foster Cross-Functional Relationships: Build strong, collaborative relationships across Apple, facilitating seamless communication between divisions and fostering a unified approach to program goals.
-
Lead Complex Multi-Org Programs: Identify and manage stakeholders, dependencies, risks, and tradeoffs across distributed ML systems spanning engineering, infrastructure, product, security, privacy, regulatory, and governance teams.
Minimum Qualifications
-
Program management in ML Infrastructure: 7+ years of experience leading large cross-functional infrastructure programs, with 2+ years leading ML, AI, and data programs.
-
Proven Delivery of Large-Scale Solutions: Demonstrated success in delivering reliable, large-scale ML infrastructure and data platform products, including data storage, feature store, data management, data versioning, privacy, governance, analytics, and backend services that support high-throughput, user-facing applications.
-
Technical Expertise in Cloud and Hybrid Platforms: Solid understanding of cloud technologies and experience in building hybrid cloud ML infrastructure and data platforms.
-
BS in Computer Science, Computer Engineering, or related technical field OR relevant industry experience.
Preferred Qualifications
-
User-Centric Program Strategy: Passionate about optimizing the user experience, providing thought leadership to enhance end-to-end user interactions for technical products.
-
Technical Proficiency in ML and Data Tools: Familiarity with ML infrastructure, frameworks like PyTorch and TensorFlow, Jupyter notebooks, Spark, Trino, Flink, SQL, Python, and other advanced analytical tools is a significant asset.
-
Familiarity with Distributed Cloud ML Systems: Familiarity with distributed systems and large-scale compute environments. Background working closely with applied Data & ML infra teams. Experience with developer platforms, APIs, or infrastructure products.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $163,300 and $290,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Are you ready to take a pivotal role in shaping Apple’s next-generation products by driving the adoption of machine learning and equipping engineering teams with robust data insights? Join the Apple Data Platform EPM team as a Senior Program Manager, focusing on Machine Learning Infrastructure and data platform products. You’ll play a critical role in shaping and scaling the platform that powers AI application development across Apple.
The Apple Data Platform team powers GenAI, ML, data analytics, and exploration platforms that fuel the App Store, Music, Search, Maps, iCloud and many other beloved products in the Apple ecosystem. Our mission is to provide ML engineers and data scientists with an innovative, reliable, secure, and user-friendly platform for ingesting, storing, processing, and interacting with data, ultimately helping teams derive insights that drive product success.
Description
In this role, you’ll oversee a platform responsible for secure data ingestion, storage, management, feature engineering, real-time and batch processing, data transformation, and analytics, among other critical functions. This infrastructure enables Apple’s engineering teams to manage the ML lifecycle effectively, supporting model training and enhancing product quality to deliver a seamless, privacy-centric experience to Apple customers. You’ll collaborate extensively with cross-functional partners within and beyond the AI/ML landscape, defining and delivering impactful ML and data platform products that meet Apple’s organizational needs. With a deep understanding of user needs, you’ll own complex challenges, exploring all facets of business opportunities, and connecting insights across roles and functions to drive innovative solutions.
Responsibilities
-
Drive Program Roadmap and Strategy: Define and execute the roadmap for scalable, privacy-preserving ML infrastructure and data platforms, empowering Apple’s development teams to efficiently ingest, store, process, transform, and analyze data for machine learning and analytics.
-
Program Ownership and Use Case Identification: Proactively engage with internal partners to identify high-impact use cases, build strong business cases, and define detailed requirements and product specifications. Lead cross-functional discussions with stakeholders to prioritize and establish a strategic program roadmap.
-
Establish and Maintain Feedback Loops: Develop and sustain a robust feedback loop with stakeholders, partners, and users to drive iterative improvements, ensuring that products continuously evolve to meet user needs and program objectives.
-
Define Success Metrics: Develop and monitor key product metrics that align with broader ASE product goals, enabling clear measurement of data platform success and impact.
-
Champion Product Adoption and Evangelism: Act as a primary advocate for data products, leading efforts to promote platform adoption, ensuring awareness, and aligning stakeholders on the platform’s value across the organization.
-
Foster Cross-Functional Relationships: Build strong, collaborative relationships across Apple, facilitating seamless communication between divisions and fostering a unified approach to program goals.
-
Lead Complex Multi-Org Programs: Identify and manage stakeholders, dependencies, risks, and tradeoffs across distributed ML systems spanning engineering, infrastructure, product, security, privacy, regulatory, and governance teams.
Minimum Qualifications
-
Program management in ML Infrastructure: 7+ years of experience leading large cross-functional infrastructure programs, with 2+ years leading ML, AI, and data programs.
-
Proven Delivery of Large-Scale Solutions: Demonstrated success in delivering reliable, large-scale ML infrastructure and data platform products, including data storage, feature store, data management, data versioning, privacy, governance, analytics, and backend services that support high-throughput, user-facing applications.
-
Technical Expertise in Cloud and Hybrid Platforms: Solid understanding of cloud technologies and experience in building hybrid cloud ML infrastructure and data platforms.
-
BS in Computer Science, Computer Engineering, or related technical field OR relevant industry experience.
Preferred Qualifications
-
User-Centric Program Strategy: Passionate about optimizing the user experience, providing thought leadership to enhance end-to-end user interactions for technical products.
-
Technical Proficiency in ML and Data Tools: Familiarity with ML infrastructure, frameworks like PyTorch and TensorFlow, Jupyter notebooks, Spark, Trino, Flink, SQL, Python, and other advanced analytical tools is a significant asset.
-
Familiarity with Distributed Cloud ML Systems: Familiarity with distributed systems and large-scale compute environments. Background working closely with applied Data & ML infra teams. Experience with developer platforms, APIs, or infrastructure products.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $163,300 and $290,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
See all 58+ AI Program Manager at Apple jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Program Manager at Apple roles.
Get Access To All JobsTips for Finding AI Program Manager Jobs at Apple Jobs
Frame your PM credentials around AI delivery
Apple's AI Program Manager roles emphasize shipping ML-driven features across hardware-software pipelines. Document your experience managing model deployment cycles, cross-functional ML teams, or AI product roadmaps before applying, since these specifics drive specialty occupation determinations on your H-1B petition.
Target Apple's AI and Machine Intelligence teams
Apple's Machine Intelligence, Siri, and Core ML organizations post AI Program Manager roles with distinct sponsorship patterns. Filtering your search to these business units improves your odds of landing a role where the team already has established visa filing workflows with Apple's immigration counsel.
Use Migrate Mate to surface Apple's open AI PM roles
AI Program Manager openings at Apple move quickly and don't always stay listed long. Use Migrate Mate to browse verified sponsorship-eligible positions so you're applying to roles where Apple has confirmed it will support visa filings for the right candidate.
Align your degree field to the role's specialty occupation
USCIS requires your degree field to directly relate to the AI Program Manager duties Apple describes. A background in computer science, electrical engineering, or a related quantitative discipline strengthens the specialty occupation argument significantly more than a general management degree alone.
Clarify your OPT end date before the offer stage
If you're on F-1 OPT, confirm your remaining authorized period before Apple's offer timeline. Apple's legal team needs enough runway to prepare the H-1B cap filing or, for STEM OPT, the E-Verify-verified extension before your current authorization expires.
Prepare for Apple's cap-exempt filing window if eligible
Candidates transferring from a cap-exempt institution or already holding H-1B status can start at Apple outside the April lottery window. Confirm your current visa history with Apple's immigration team early in the offer process so they can file a cap-exempt or portability petition without delay.
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Find AI Program Manager at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for AI Program Managers?
Yes, Apple sponsors H-1B visas for AI Program Manager roles. The position qualifies as a specialty occupation given its requirement for a bachelor's degree or higher in a technical field such as computer science or engineering. Apple works with experienced immigration counsel to handle cap filings, cap-exempt transfers, and H-1B extensions for this function.
Which visa types does Apple commonly use for AI Program Manager roles?
Apple sponsors H-1B and H-1B1 visas for AI Program Managers, along with the E-3 for Australian citizens and TN status for qualified Canadian and Mexican nationals in eligible categories. For candidates already in the U.S. on F-1 status, Apple also supports OPT and STEM OPT employment authorization. Longer-term, Apple files EB-2 and EB-3 Green Card petitions for qualifying employees.
How do I apply for AI Program Manager jobs at Apple?
Applications go through Apple's careers site, where AI Program Manager roles are listed under the Operations or AI and Machine Learning job families. Tailoring your resume to reflect ML product delivery, cross-functional team coordination, and technical program execution helps your application stand out. You can also use Migrate Mate to browse Apple's current AI Program Manager openings filtered by visa sponsorship eligibility.
What qualifications does Apple expect for AI Program Manager roles?
Apple's AI Program Manager postings typically require a bachelor's degree in computer science, engineering, or a related technical field, along with experience managing complex software or hardware programs involving machine learning components. Familiarity with ML model deployment pipelines, agile delivery frameworks, and cross-functional stakeholder management across engineering, data science, and product teams is expected at most levels.
How do I understand the timeline from offer to work authorization at Apple?
Timeline depends on your current status. H-1B cap cases require filing during the April lottery window with an October 1 start date, meaning offers made in early spring target the same-year cap season. Transfers from existing H-1B status or cap-exempt filings can start sooner. USCIS premium processing, currently available for H-1B petitions, reduces adjudication to 15 business days and is commonly used for time-sensitive start dates.
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