Agentic AI Product Manager

Agentic AI Product Manager Cupertino, California, United States Sales and Business Development Summary Posted:

Jun 02, 2026

Weekly Hours:

40

Role Number:

200664473-0836 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 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 an 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. Responsibilities Build and maintain production agentic AI products serving CSO program teams and GEO sales teams Work directly with program owners and business stakeholders to identify highest-value use cases for agents Design, implement, and iterate on agentic workflows including multi-agent orchestration, tool use, and structured reasoning Deploy and customize agents for GEO teams across multiple languages and regional contexts Collaborate with the Agent Platform Architects on marketplace deployment, tool adoption, and infrastructure architecture Translate ambiguous business problems into well-scoped agent products with clear success metrics Iterate rapidly based on field feedback — measure adoption, output quality, and time-to-insight Own agent quality — build evaluation frameworks, monitor production accuracy, and drive prompt iteration cycles based on eval results Build agents end-to-end and co-develop with business teams — enable them to customize, maintain, and operate agents after initial deployment Minimum Qualifications 8+ 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 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 Pay & Benefits 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 $172,100 and $258,600, 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. 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. Apple accepts applications to this posting on an ongoing basis.