Product Manager - Conversational AI & Performance Support

Summary

The WW Channel Strategy & Operations (CSO) team focuses on developing and deploying global sales platforms and processes to deliver exceptional customer experiences and drive business outcomes. We are seeking a Product Manager toown the roadmap for real-time, conversational AI guidance that enables seller performance and skill development, and isaccountable for driving seller performance outcomes, not just usage. This is a global role, serving Apple’s channel sellersacross 100+ countries and many languages.

Minimum Qualifications

8+ years of product management experience, ideally including learner-facing, seller-facing, or performance-support products Experience with LLM-based or GenAI product development Experience building products that span both B2B and B2C selling motions, at global scale — including multi-language ormulti-region deployment Strong ability to translate complex seller- or customer-facing needs into scalable product requirements Proven track record defining success metrics centered on performance outcomes, not just usage or engagement Experience partnering across multiple PMs/surfaces to drive a cross-cutting capability Experience working with cross-functional teams in Agile environments Bachelor’s degree or equivalent experience

Preferred Qualifications

Experience in B2B/B2C sales enablement or learning technologies Experience implementing and scaling workflow learning or learning-in-the-flow-of-work approaches

Description

1. Product Strategy & Vision Define and drive the product vision, strategy, and roadmap for real-time, in-the-moment seller performance support powered by conversational AI Own the Perform pillar of Prepare, Perform, Grow — the live, with-customer moment — while ensuring real-time guidance also strengthens how sellers prepare and continue to grow Partner with the Product Managers owning seller learning and practice experiences to ensure a connected path from preparation through live performance 2. Conversational AI & Guidance Experience Own the end-to-end experience of how sellers access guidance in real time, including conversational AI interactions Define product requirements that balance speed, accuracy, and trust in AI-generated guidance Own personalization of the guidance experience itself, partnering with the backend platform PM to leverage the underlying signal and profile infrastructure 3. Performance Impact & Outcomes Define what “effective in-the-moment support” looks like and build the mechanisms to measure it Center success criteria on seller performance and confidence in live selling moments, not just usage or engagement Use outcome data to continuously evolve the guidance experience 4. Cross-Functional Collaboration Partner with the PM owning seller practice and simulation experiences to ensure skills built in practice carry into live performance support Partner with the PM owning personalization and coaching intelligence, and the backend platform PM, to ensure guidance is personalized and powered by the right signals Partner with engineering, design, data & analytics, and EPMs to drive execution from concept to launch Partner with Content, Product Marketing, Brand, and Legal to define and govern the voice, tone, and disclaimers of AI-generated guidance 5. Metrics & Performance Define and track success metrics centered on seller performance and guidance effectiveness Use data to drive continuous improvement and prioritization Maintain a well-structured, prioritized backlog for the guidance experience

Responsibilities

Own the roadmap for real-time, in-the-moment sales guidance Define the product strategy for growing real-time guidance into a full performance-support experience Ensure clean handoff and alignment with the PMs owning practice, personalization, and backend platform Define and track performance-based success metrics Partner with engineering and data science to translate guidance strategy into scalable systems