Engineering Senior Manager Jobs at Apple with Visa Sponsorship
Engineering Senior Manager jobs at Apple sit at the intersection of hardware innovation and large-scale team leadership, spanning product lines from iPhone to Apple Silicon. Apple has a well-established sponsorship infrastructure for engineering leadership, supporting candidates across multiple visa categories throughout the process.
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Get Access To All JobsINTRODUCTION
Imagine the possibilities here. At Apple, great ideas swiftly transform into exceptional products, services, and customer experiences. We firmly believe that with passion and dedication, you can achieve remarkable things! Every new product, service, or feature we create is the result of collaborative efforts, where each person strengthens the other’s ideas. This synergy thrives here because we all strive towards a shared goal: crafting the best customer experiences.
DESCRIPTION
We’re looking for a senior engineering leader to drive Applied AI experiences for Channel Sales, with a focus on intelligent workflows, conversational experiences, and emerging agentic AI capabilities for the full end to end Commerce Journey. These products are used by Apple Internal, Partners and their customers, with some product being potentially used by tens of millions of users. This is a startup environment within Apple, and the product build has direct measurable business impact. You will lead an amazingly talented team, drive product engineering strategy, pitch, plan, execute and measure the impact.
As a Senior Engineering Manager, you will lead and inspire a team of highly talented and experienced engineers. You will have strong technical, communication, and people management skills and be responsible for the team’s strategy and execution. Our team values rapid iteration and delivering impactful results so the ideal candidate will have a passion for detail and delivering high-quality outcomes.
Responsibilities
- Lead a multidisciplinary applied intelligence organization spanning ML, data science, and domain intelligence.
- Develop senior technical leaders and managers capable of operating at system scale.
- Set quality bars for applied intelligence, including correctness, safety, and global consistency.
- Foster a culture of accountability, rigor, and thoughtful risk-taking, collaboration, innovation, and continuous learning to break glass ceilings in applied AI development.
- Streamline processes, onboard new tools, and plan resources effectively to enhance team performance.
- Own the Applied AI intelligence layer of Channel Sales AIML Platform, defining how AI reasoning and domain intelligence are applied across Store, Shopping, Learning and Decision Intelligence.
- Translate AI strategy into reusable intelligence capabilities that scale across products and 38+ locales.
- Ensure applied intelligence remains coherent and auditable, avoiding product-specific forks or duplicated logic.
- Serve as a strategic thought partner to AI Product Engineering leadership, shaping the platform’s vision, priorities, and long-term roadmap.
- Define and lead initiatives addressing the organization’s longer-term needs, such as workforce planning and organizational transformation.
- Represent AI Product Engineering leadership when needed, using judgment and discretion to unblock decisions and represent the organization in cross-functional and technical forums.
- Build relationships and collaboration opportunities within Channel Sales and with other orgs i.e AIML, SWE etc.
MINIMUM QUALIFICATIONS
- 12+ years of experience in applied machine learning, decision systems, or large-scale AI systems.
- 5+ years managing high performing technical teams.
- Hands-on industry experience and a proven track record of shipping ML-powered products or features, ideally involving LLMs.
- Experience developing AI agents capable of planning and tool use tasks using generative AI techniques.
- Successful track record of working closely with design and engineering teams during the full GenAI/LLM product lifecycle, including research, planning, implementation and launch.
- Experience executing operational efficiency, business strategy, decision making and transforming organizations.
- Excellent communication, interpersonal, and presentation skills.
- Ability to filter and distill relevant information for the right audience.
- Strong experience leading cross-functional initiatives with a clear impact on the direction of products.
- Strong organizational skills, able to handle ambiguity with experience in thriving in a startup environment within a large organization.
PREFERRED QUALIFICATIONS
- Hands-on industry experience shipping LLM-powered consumer-facing products or features.
- Experience with personalization, recommendation systems, or commerce intelligence.
- Experience with multilingual or global-scale AI deployments.
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 $262,500 and $393,800, 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
Imagine the possibilities here. At Apple, great ideas swiftly transform into exceptional products, services, and customer experiences. We firmly believe that with passion and dedication, you can achieve remarkable things! Every new product, service, or feature we create is the result of collaborative efforts, where each person strengthens the other’s ideas. This synergy thrives here because we all strive towards a shared goal: crafting the best customer experiences.
DESCRIPTION
We’re looking for a senior engineering leader to drive Applied AI experiences for Channel Sales, with a focus on intelligent workflows, conversational experiences, and emerging agentic AI capabilities for the full end to end Commerce Journey. These products are used by Apple Internal, Partners and their customers, with some product being potentially used by tens of millions of users. This is a startup environment within Apple, and the product build has direct measurable business impact. You will lead an amazingly talented team, drive product engineering strategy, pitch, plan, execute and measure the impact.
As a Senior Engineering Manager, you will lead and inspire a team of highly talented and experienced engineers. You will have strong technical, communication, and people management skills and be responsible for the team’s strategy and execution. Our team values rapid iteration and delivering impactful results so the ideal candidate will have a passion for detail and delivering high-quality outcomes.
Responsibilities
- Lead a multidisciplinary applied intelligence organization spanning ML, data science, and domain intelligence.
- Develop senior technical leaders and managers capable of operating at system scale.
- Set quality bars for applied intelligence, including correctness, safety, and global consistency.
- Foster a culture of accountability, rigor, and thoughtful risk-taking, collaboration, innovation, and continuous learning to break glass ceilings in applied AI development.
- Streamline processes, onboard new tools, and plan resources effectively to enhance team performance.
- Own the Applied AI intelligence layer of Channel Sales AIML Platform, defining how AI reasoning and domain intelligence are applied across Store, Shopping, Learning and Decision Intelligence.
- Translate AI strategy into reusable intelligence capabilities that scale across products and 38+ locales.
- Ensure applied intelligence remains coherent and auditable, avoiding product-specific forks or duplicated logic.
- Serve as a strategic thought partner to AI Product Engineering leadership, shaping the platform’s vision, priorities, and long-term roadmap.
- Define and lead initiatives addressing the organization’s longer-term needs, such as workforce planning and organizational transformation.
- Represent AI Product Engineering leadership when needed, using judgment and discretion to unblock decisions and represent the organization in cross-functional and technical forums.
- Build relationships and collaboration opportunities within Channel Sales and with other orgs i.e AIML, SWE etc.
MINIMUM QUALIFICATIONS
- 12+ years of experience in applied machine learning, decision systems, or large-scale AI systems.
- 5+ years managing high performing technical teams.
- Hands-on industry experience and a proven track record of shipping ML-powered products or features, ideally involving LLMs.
- Experience developing AI agents capable of planning and tool use tasks using generative AI techniques.
- Successful track record of working closely with design and engineering teams during the full GenAI/LLM product lifecycle, including research, planning, implementation and launch.
- Experience executing operational efficiency, business strategy, decision making and transforming organizations.
- Excellent communication, interpersonal, and presentation skills.
- Ability to filter and distill relevant information for the right audience.
- Strong experience leading cross-functional initiatives with a clear impact on the direction of products.
- Strong organizational skills, able to handle ambiguity with experience in thriving in a startup environment within a large organization.
PREFERRED QUALIFICATIONS
- Hands-on industry experience shipping LLM-powered consumer-facing products or features.
- Experience with personalization, recommendation systems, or commerce intelligence.
- Experience with multilingual or global-scale AI deployments.
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 $262,500 and $393,800, 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 40+ Engineering Senior Manager Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Senior Manager Jobs at Apple.
Get Access To All JobsTips for Finding Engineering Senior Manager Jobs at Apple
Align your credentials to Apple's hardware org
Apple's engineering leadership hires heavily for silicon, sensing, and display technologies. Frame your resume around technical depth in a specific hardware domain, not broad management, so your background maps cleanly to a defined product org.
Target roles tied to active product cycles
Apple's Engineering Senior Manager postings cluster around hardware ramp periods. Roles attached to platforms under active development move faster through headcount approval, which directly affects how quickly a sponsorship filing can be initiated.
Confirm LCA prevailing wage tier before negotiating
Apple files Labor Condition Applications with the DOL before any H-1B or E-3 petition can proceed. Understanding the prevailing wage level for your metro area and role level helps you negotiate realistically without stalling the filing timeline.
Prepare for multi-round technical leadership interviews
Apple's Senior Manager process includes both engineering deep-dives and cross-functional leadership assessments. Having documented examples of shipping hardware at scale, including team size and tape-out milestones, strengthens your case through the debrief stage.
Use Migrate Mate to filter open roles by visa type
Apple posts Engineering Senior Manager roles across multiple hardware orgs simultaneously. Use Migrate Mate to filter specifically for positions matching your visa category so you're applying to roles where your sponsorship type is already supported.
Understand cap-exempt timing if transferring from another employer
If you already hold H-1B status with another employer, Apple can file an H-1B transfer without waiting for the annual cap or lottery. USCIS allows you to start work at Apple once the transfer petition is filed, not after approval.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Engineering Senior Managers?
Yes, Apple sponsors H-1B visas for Engineering Senior Manager roles. Apple's legal and HR teams manage the full petition process, including the Labor Condition Application filed with the DOL and the I-129 petition submitted to USCIS. If you're already on H-1B with another employer, Apple can file a transfer petition, allowing you to start work once the petition is received by USCIS.
How do I apply for Engineering Senior Manager jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Engineering Senior Manager roles are typically posted by hardware org, so searching by product area, such as silicon, sensors, or display, returns more targeted results than searching the title alone. Migrate Mate also aggregates Apple's open roles filtered by visa sponsorship type, which helps you confirm sponsorship eligibility before applying.
Which visa types does Apple commonly use for Engineering Senior Manager roles?
Apple sponsors H-1B and H-1B1 visas most frequently for engineering leadership roles, along with E-3 visas for Australian citizens and TN visas for Canadian and Mexican nationals. For candidates seeking permanent residence, Apple supports EB-2 and EB-3 Green Card sponsorship through the PERM labor certification process. F-1 OPT holders can also be considered, though the 12-month standard OPT window is tight for a senior leadership hire.
What qualifications does Apple expect for an Engineering Senior Manager?
Apple's Engineering Senior Manager roles in hardware typically require a bachelor's degree or higher in electrical engineering, computer engineering, or a closely related field, with substantial experience leading engineering teams through hardware development cycles. Demonstrated experience owning a product subsystem from bring-up through mass production, managing cross-functional dependencies, and developing engineering talent are weighted heavily in the debrief process.
How do I plan my timeline around the H-1B cap if I need sponsorship?
If you don't currently hold H-1B status, you're subject to the annual H-1B cap and lottery, which USCIS runs each spring for an October 1 start date. That means offer timing matters: accepting an offer in Q4 or Q1 positions you well for the March registration window. Australians on E-3 and Canadian or Mexican nationals on TN are not subject to the cap and can start much sooner after an offer is accepted.