Product Manager - Conversational AI &Performance Support
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Before you apply
LocationCupertino, California, United States
Typefull-time
SenioritySenior
Experience8+ yrs
DepartmentSales and Business Development
Company size10,000+ people
PostedNov 3, 2026 · 4d ago
Verified live15h ago
At a glanceSummarised by Seekless from the posting.
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 or multi-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
Experience in B2B/B2C sales enablement or learning technologies
Experience implementing and scaling workflow learning or learning-in-the-flow-of-work approaches
About the role
The WW Channel Strategy & Operations (CSO) team focuses on developing and deploying global sales platforms andprocesses 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.
Description
1.
Product Strategy & Vision
Responsibilities
Define and drive the product vision, strategy, and roadmap for real-time, in-the-moment seller performance supportpowered by conversational AI
Own the Perform pillar of Prepare, Perform, Grow — the live, with-customer moment — while ensuring real-timeguidance 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 theunderlying 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 liveperformance support
Partner with the PM owning personalization and coaching intelligence, and the backend platform PM, to ensureguidance 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
Minimum qualifications
•
8+ years of product management experience, ideally including learner-facing, seller-facing, or performance-supportproducts
•
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