AI Product Engineer Jobs at Apple with Visa Sponsorship
AI Product Engineer jobs at Apple require engineers who can move between research, prototyping, and production at scale. For AI Product Engineers, Apple works with a range of visa categories to bring in qualified talent, making it a realistic target for international candidates with the right technical background.
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Get Access To All JobsINTRODUCTION
Apple's Worldwide Channel Strategy & Operations (WW CSO) develops and deploys global sales programs to deliver extraordinary customer experiences and drive channel sales - with deep expertise spanning digital, physical, and people enablement.
Within CSO, the Agentic AI Development team builds intelligent, agent-powered experiences for Channel Sales. This is a startup environment within Apple, and the products we build have direct, measurable business impact across multiple GEOs worldwide.
DESCRIPTION
We're looking for a product manager who embeds directly with business teams to build and ship agentic AI products that directly serve Apple's Channel Sales programs and global sales teams. You'll work side-by-side with business stakeholders to identify high-value problems, rapidly prototype and deploy to production agentic solutions to drive business impact.
As an Agentic AI Product Manager, you will own the full lifecycle of agent products - from discovery through deployment and ongoing quality iteration. You'll build intelligent workflows that automate program operations, surface insights from complex data, and enable WW Sales teams across multiple GEOs to work faster and smarter. Your agents will have direct, measurable business impact on customer experience and sales effectiveness.
This role is a blend of technical and product thinking. You will understand business needs deeply, identify where AI creates leverage, write code, and ship solutions that will drive real business impact.
Responsibilities
- Build and maintain production agentic AI products serving CSO program teams and GEO sales teams
- Work directly with program owners and business stakeholders to identify highest-value use cases for agents
- Design, implement, and iterate on agentic workflows including multi-agent orchestration, tool use, and structured reasoning
- Deploy and customize agents for GEO teams across multiple languages and regional contexts
- Collaborate with the Agent Platform Architects on marketplace deployment, tool adoption, and infrastructure architecture
- Translate ambiguous business problems into well-scoped agent products with clear success metrics
- Iterate rapidly based on field feedback - measure adoption, output quality, and time-to-insight
- Own agent quality - build evaluation frameworks, monitor production accuracy, and drive prompt iteration cycles based on eval results
- Build agents end-to-end and co-develop with business teams - enable them to customize, maintain, and operate agents after initial deployment
MINIMUM QUALIFICATIONS
- 8+ years of technical or product experience shipping production products or features
- Hands-on experience building LLM-powered applications (prompt engineering, RAG, tool use, agent orchestration)
- Experience working directly with non-technical stakeholders to define requirements and iterate on solutions
- Strong communication skills - ability to translate between business needs and technical implementation
- Track record of shipping products that people actually use, with measurable impact
PREFERRED QUALIFICATIONS
- Experience building multi-agent systems or complex LLM orchestration pipelines
- Familiarity with evaluation frameworks for LLM outputs (accuracy, hallucination detection, quality scoring)
- Full-stack technical skills - ability to build end-to-end from data pipelines through user-facing interfaces
- Experience with multilingual or global-scale deployments
- Background in retail, commerce, training/enablement, or enterprise operations domains
- Experience with MCP (Model Context Protocol) or similar tool-use frameworks
- Comfort with ambiguity and startup-like environments within large organizations
- Experience embedded with business teams to build solutions (solutions engineering, field engineering, or similar)
- Track record of considering how new tools affect existing workflows end-to-end - who feeds data in, who depends on the output, and what breaks when something changes
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 $172,100 and $258,600, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Apple's Worldwide Channel Strategy & Operations (WW CSO) develops and deploys global sales programs to deliver extraordinary customer experiences and drive channel sales - with deep expertise spanning digital, physical, and people enablement.
Within CSO, the Agentic AI Development team builds intelligent, agent-powered experiences for Channel Sales. This is a startup environment within Apple, and the products we build have direct, measurable business impact across multiple GEOs worldwide.
DESCRIPTION
We're looking for a product manager who embeds directly with business teams to build and ship agentic AI products that directly serve Apple's Channel Sales programs and global sales teams. You'll work side-by-side with business stakeholders to identify high-value problems, rapidly prototype and deploy to production agentic solutions to drive business impact.
As an Agentic AI Product Manager, you will own the full lifecycle of agent products - from discovery through deployment and ongoing quality iteration. You'll build intelligent workflows that automate program operations, surface insights from complex data, and enable WW Sales teams across multiple GEOs to work faster and smarter. Your agents will have direct, measurable business impact on customer experience and sales effectiveness.
This role is a blend of technical and product thinking. You will understand business needs deeply, identify where AI creates leverage, write code, and ship solutions that will drive real business impact.
Responsibilities
- Build and maintain production agentic AI products serving CSO program teams and GEO sales teams
- Work directly with program owners and business stakeholders to identify highest-value use cases for agents
- Design, implement, and iterate on agentic workflows including multi-agent orchestration, tool use, and structured reasoning
- Deploy and customize agents for GEO teams across multiple languages and regional contexts
- Collaborate with the Agent Platform Architects on marketplace deployment, tool adoption, and infrastructure architecture
- Translate ambiguous business problems into well-scoped agent products with clear success metrics
- Iterate rapidly based on field feedback - measure adoption, output quality, and time-to-insight
- Own agent quality - build evaluation frameworks, monitor production accuracy, and drive prompt iteration cycles based on eval results
- Build agents end-to-end and co-develop with business teams - enable them to customize, maintain, and operate agents after initial deployment
MINIMUM QUALIFICATIONS
- 8+ years of technical or product experience shipping production products or features
- Hands-on experience building LLM-powered applications (prompt engineering, RAG, tool use, agent orchestration)
- Experience working directly with non-technical stakeholders to define requirements and iterate on solutions
- Strong communication skills - ability to translate between business needs and technical implementation
- Track record of shipping products that people actually use, with measurable impact
PREFERRED QUALIFICATIONS
- Experience building multi-agent systems or complex LLM orchestration pipelines
- Familiarity with evaluation frameworks for LLM outputs (accuracy, hallucination detection, quality scoring)
- Full-stack technical skills - ability to build end-to-end from data pipelines through user-facing interfaces
- Experience with multilingual or global-scale deployments
- Background in retail, commerce, training/enablement, or enterprise operations domains
- Experience with MCP (Model Context Protocol) or similar tool-use frameworks
- Comfort with ambiguity and startup-like environments within large organizations
- Experience embedded with business teams to build solutions (solutions engineering, field engineering, or similar)
- Track record of considering how new tools affect existing workflows end-to-end - who feeds data in, who depends on the output, and what breaks when something changes
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 $172,100 and $258,600, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 214+ AI Product Engineer Jobs at Apple
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Get Access To All JobsTips for Finding AI Product Engineer Jobs at Apple
Align your portfolio to Apple's on-device AI
Apple prioritizes AI that runs locally on hardware, not in the cloud. Before applying, reframe your portfolio around edge inference, model compression, or CoreML-compatible work to signal direct relevance to their product engineering priorities.
Target roles posted under Apple Intelligence initiatives
Apple clusters AI Product Engineer openings around specific platform teams. Filter for roles mentioning Siri, Vision Pro, or on-device inference in job descriptions, as these teams have the clearest sponsorship history for AI-focused engineering functions.
Confirm your visa type before the offer stage
Apple sponsors multiple visa categories, including H-1B, E-3, and TN. Knowing which category fits your nationality and background before you receive an offer prevents delays when Apple's immigration team initiates the DOL Labor Condition Application filing.
Prepare your specialty occupation documentation early
USCIS scrutinizes AI Product Engineer petitions where the role blends product management and engineering. Gather degree transcripts, a detailed job duties letter, and evidence your role requires a specific technical degree field before your employer files the I-129.
Use Migrate Mate to identify open AI Product Engineer roles at Apple
Browse current AI Product Engineer openings at Apple filtered by visa sponsorship type using Migrate Mate, so you're applying to positions with an active sponsorship track record rather than roles where sponsorship availability is unclear.
Account for H-1B cap timing if you're on OPT
If you're in F-1 OPT status, Apple must file your H-1B petition by early April for an October 1 start. Work backward from that deadline to ensure your offer letter, LCA certification, and supporting documents are ready before USCIS opens the registration window in March.
Frequently Asked Questions
Does Apple sponsor H-1B visas for AI Product Engineers?
Yes, Apple sponsors H-1B visas for AI Product Engineers. Apple engages with the annual H-1B cap lottery for new applicants and also files cap-exempt petitions for candidates transitioning from certain research or educational institutions. Given the role's technical requirements, Apple's immigration team typically supports the full petition process, including the DOL Labor Condition Application, once you have a formal offer.
How do I apply for AI Product Engineer jobs at Apple?
Apply directly through Apple's careers site and tailor your resume to highlight AI product development experience relevant to Apple's hardware and software ecosystem. Roles on teams like Apple Intelligence, Core ML, or Siri tend to move quickly, so applying as soon as a position opens matters. You can also use Migrate Mate to browse current AI Product Engineer openings at Apple filtered by visa sponsorship type.
Which visa types does Apple commonly use for AI Product Engineers?
Apple sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, and F-1 OPT and CPT for AI Product Engineers, depending on your nationality and current status. Australian citizens are well-positioned for the E-3 visa, which has no lottery and can be processed faster. Canadian and Mexican nationals often use TN visa status. For long-term permanent residence, Apple also supports EB-2 and EB-3 Green Card sponsorship after a qualifying tenure.
What qualifications does Apple expect for AI Product Engineer roles?
Apple's AI Product Engineer roles typically require a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Hands-on experience with machine learning frameworks, hardware-software integration, or on-device AI is weighted heavily. USCIS requires the role to qualify as a specialty occupation, so your degree field needs to directly align with the job duties Apple lists in your offer letter.
How do I think about the sponsorship timeline for an AI Product Engineer role at Apple?
Timeline depends heavily on your visa category. E-3 and TN petitions can be processed at a consulate in a matter of weeks. H-1B cap cases require registration in March with an October 1 start date, meaning a gap of six or more months between offer and start is common. Apple's in-house immigration team coordinates with outside counsel, but you should track USCIS processing times directly on the USCIS website to set accurate expectations.