Senior Engineering Manager, Applied AI & Agentic Experiences

Summary

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.

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.

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.