Senior Engineering Manager, Applied AI & Agentic Experiences

Apple Inc.; Cupertino (CA); On-site; USD 267,800 - 401,700; Full time

Benefits offered by this job

Stock programs

Relocation

Bonus eligibility

Healthcare

Education reimbursement

Job summary

Apple Inc. in Cupertino, CA seeks a Senior Engineering Manager to lead Applied AI experiences for Channel Sales. You will drive multi-disciplinary teams across ML, data science, and domain intelligence to ship scalable AI capabilities for the Commerce Journey.

You will mentor senior technical leaders, define the platform strategy, and ensure quality, safety, and global consistency across 38+ locales while balancing business impact and technical rigor.

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 shipping ML-powered products or features, incl. LLMs.
• Experience developing AI agents capable of planning and tool use tasks using generative AI techniques.
• Experience with GenAI/LLM lifecycle: research, planning, implementation and launch.

Responsibilities

• Lead an applied intelligence organization spanning ML, data science, and domain intelligence.
• Develop senior technical leaders and managers at scale.
• Set quality bars for applied intelligence, including correctness, safety, and global consistency.
• Foster accountability, rigor, collaboration, and continuous learning to push AI development forward.
• Own the AI platform layer for Channel Sales AIML Platform across Store, Shopping, Learning and Decision Intelligence.
• Translate AI strategy into reusable capabilities that scale across products and locales.

Skills

Leadership

Communication

Cross-functional work

Strategic thinking

People management

Tools

LLMs

AI systems

Job description

Senior Engineering Manager, Applied AI & Agentic Experiences

Cupertino, California, United States Machine Learning and AI

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.

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 $267,800 and $401,700, 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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.