Senior Agentic AI Product Manager

Apples Worldwide Channel Strategy u0026 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 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.

Were looking for a senior product manager who embeds directly with business teams to build and ship agentic AI products that directly serve Apples Channel Sales programs and global sales teams. Youll work side-by-side with business stakeholders to identify high-value problems rapidly prototype and deploy to production agentic solutions to drive business a Senior Agentic AI Product Manager you will own the full lifecycle of agent products from discovery through deployment and ongoing quality iteration. Youll 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 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.

Build and maintain production agentic AI products serving CSO program teams and GEO sales teamsnWork directly with program owners and business stakeholders to identify highest-value use cases for agentsnDesign implement and iterate on agentic workflows including multi-agent orchestration tool use and structured reasoningnDeploy and customize agents for GEO teams across multiple languages and regional contextsnCollaborate with the Agent Platform Architects on marketplace deployment tool adoption and infrastructure architecturenTranslate ambiguous business problems into well-scoped agent products with clear success metricsnIterate rapidly based on field feedback measure adoption output quality and time-to-insightnOwn agent quality build evaluation frameworks monitor production accuracy and drive prompt iteration cycles based on eval resultsnBuild agents end-to-end and co-develop with business teams enable them to customize maintain and operate agents after initial deployment

12 years of technical or product experience shipping production products or featuresnHands-on experience building LLM-powered applications (prompt engineering RAG tool use agent orchestration)nExperience working directly with non-technical stakeholders to define requirements and iterate on solutionsnStrong communication skills ability to translate between business needs and technical implementationnTrack record of shipping products that people actually use with measurable impact

Experience building multi-agent systems or complex LLM orchestration pipelinesnFamiliarity with evaluation frameworks for LLM outputs (accuracy hallucination detection quality scoring)nFull-stack technical skills ability to build end-to-end from data pipelines through user-facing interfacesnExperience with multilingual or global-scale deploymentsnBackground in retail commerce training/enablement or enterprise operations domainsnExperience with MCP (Model Context Protocol) or similar tool-use frameworksnComfort with ambiguity and startup-like environments within large organizationsnExperience embedded with business teams to build solutions (solutions engineering field engineering or similar)nTrack 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