Agentic AI Product Manager, Platform - Sales
Apple
- Location
- Onsite (Austin, Texas)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 week ago
About the Role
Apple is seeking a Senior Product Manager to lead their agentic AI platform, a startup environment within the company focused on building intelligent, agent-powered experiences for global sales. This role involves defining the vision, strategy, and roadmap for the platform that enables AI agents to be built, run, and scaled worldwide.
Skills
Product Management
Platform Strategy
Agentic AI
LLM Systems
API Design
Technical Requirements
Roadmap Prioritization
Developer Platforms
Model Context Protocol
Multi-tenant Architecture
Governance Models
Global Product Launch
Technical Fluency
Stakeholder Management
System Integration
Data Modeling
Full job details
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.
We're investing in the platforms and infrastructure that let teams across our worldwide sales organization build, run, and scale AI agents. This is the foundation a fast-growing portfolio of agentic products is built on.
We're looking for a senior product manager to own our agentic AI platform as a product — its vision, strategy, roadmap, and requirements. This is the infrastructure that lets teams build, deploy, and run AI agents at scale. You'll define what gets built and why. You'll translate business needs into clear product requirements, prioritize relentlessly for how quickly a user reaches a working result, and partner closely with engineering to ship. You'll grow the ecosystem around the platform — the reusable components, integrations, and capabilities that make teams productive. This role is a blend of technical and product thinking. You'll own the prioritization of the roadmap and capabilities — runtimes, APIs, integrations, and tool use — and translate fluidly between business need and engineering reality. You'll be the voice of every user, from the non-technical person who just wants to run an agent to the engineer who builds one from scratch.
8+ years of product management, including platform or developer-platform products shipped to production Track record owning a product from vision through requirements through launch Strong technical fluency — comfortable holding runtimes, APIs, integrations, and data models in your head, and translating between business needs and engineering implementation Excellent written communication — crisp product requirements, specs, and roadmaps that engineering can build from without rework Track record of shipping products with measurable impact
Built an internal developer platform, infrastructure product, or ecosystem where others build on top of what you ship Familiarity with agentic AI and large language model (LLM) systems — agent authoring, tool use, orchestration, and evaluation Experience with MCP (Model Context Protocol) or similar tool-use and integration frameworks Experience defining platform governance and customization models Experience with multi-tenant customization models (configuration overlays, forking, versioning) Experience shipping to global, multilingual, multi-region audiences Apple experience a plus — familiarity with how Apple's worldwide sales and regional teams operate Comfort with ambiguity and startup-like environments inside a large organization Background in retail, commerce, training/enablement, or enterprise operations domains
Description
We're looking for a senior product manager to own our agentic AI platform as a product — its vision, strategy, roadmap, and requirements. This is the infrastructure that lets teams build, deploy, and run AI agents at scale. You'll define what gets built and why. You'll translate business needs into clear product requirements, prioritize relentlessly for how quickly a user reaches a working result, and partner closely with engineering to ship. You'll grow the ecosystem around the platform — the reusable components, integrations, and capabilities that make teams productive. This role is a blend of technical and product thinking. You'll own the prioritization of the roadmap and capabilities — runtimes, APIs, integrations, and tool use — and translate fluidly between business need and engineering reality. You'll be the voice of every user, from the non-technical person who just wants to run an agent to the engineer who builds one from scratch.
Minimum Qualifications
8+ years of product management, including platform or developer-platform products shipped to production Track record owning a product from vision through requirements through launch Strong technical fluency — comfortable holding runtimes, APIs, integrations, and data models in your head, and translating between business needs and engineering implementation Excellent written communication — crisp product requirements, specs, and roadmaps that engineering can build from without rework Track record of shipping products with measurable impact
Preferred Qualifications
Built an internal developer platform, infrastructure product, or ecosystem where others build on top of what you ship Familiarity with agentic AI and large language model (LLM) systems — agent authoring, tool use, orchestration, and evaluation Experience with MCP (Model Context Protocol) or similar tool-use and integration frameworks Experience defining platform governance and customization models Experience with multi-tenant customization models (configuration overlays, forking, versioning) Experience shipping to global, multilingual, multi-region audiences Apple experience a plus — familiarity with how Apple's worldwide sales and regional teams operate Comfort with ambiguity and startup-like environments inside a large organization Background in retail, commerce, training/enablement, or enterprise operations domains