Senior Engineering Manager, Applied AI & Agentic Experiences

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 others ideas. This synergy thrives here because we all strive towards a shared goal: crafting the best customer experiences.

Were 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 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 teams 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.

Lead a multidisciplinary applied intelligence organization spanning ML data science and domain senior technical leaders and managers capable of operating at system quality bars for applied intelligence including correctness safety and global a culture of accountability rigor and thoughtful risk-taking collaboration innovation and continuous learning to break glass ceilings in applied AI processes onboard new tools and plan resources effectively to enhance team 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 AI strategy into reusable intelligence capabilities that scale across products and 38 applied intelligence remains coherent and auditable avoiding product-specific forks or duplicated as a strategic thought partner to AI Product Engineering leadership shaping the platforms vision priorities and long-term and lead initiatives addressing the organizations longer-term needs such as workforce planning and organizational AI Product Engineering leadership when needed using judgment and discretion to unblock decisions and represent the organization in cross-functional and technical relationships and collaboration opportunities within Channel Sales and with other orgs i.e AIML SWE etc.

12 years of experience in applied machine learning decision systems or large-scale AI systems.n5 years managing high performing technical -on industry experience and a proven track record of shipping ML-powered products or features ideally involving LLMs. nExperience developing AI agents capable of planning and tool use tasks using generative AI track record of working closely with design and engineering teams during the full GenAI/LLM product lifecycle including research planning implementation and executing operational efficiency business strategy decision making and transforming communication interpersonal and presentation to filter and distill relevant information for the right experience leading cross-functional initiatives with a clear impact on the direction of organizational skills able to handle ambiguity with experience in thriving in a startup environment within a large organization.

Hands-on industry experience shipping LLM-powered consumer-facing products or with personalization recommendation systems or commerce with multilingual or global-scale AI deployments.