Senior Agentic AI Product Manager

Summary

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 senior 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 a Senior 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.

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

Minimum Qualifications

12+ 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