Lead Product Manager, Revenue OS Platform Commercialization

Zoom is hiring a Lead Product Manager to evolve Revenue OS into an extensible platform for customers, developers, and AI agents. The role owns its data foundations, APIs, integrations, agentic orchestration, and commercialization in partnership with Engineering, AI/ML, Design, and Go-To-Market.

Responsibilities:

• Define and ship the headless Revenue OS strategy, including APIs, MCP protocols, and agent-facing capabilities, establishing how capabilities are packaged, discovered, and monetized
• Own the revenue data foundation across identity, object models, relationships, permissions, and data quality, partnering with engineering to connect people, accounts, opportunities, activities, and outcomes
• Build an integration and extensibility platform that connects Revenue OS to CRM, communication systems, data warehouses, and ecosystem partners through a scalable, standards-based model
• Define the primitives, context, and actions that enable internal and external AI agents to reason over revenue data and safely execute work across systems
• Drive the vision and roadmap for agentic orchestration, translating evolving AI capabilities into a clear, durable product strategy aligned with commercial outcomes
• Partner with Engineering, AI/ML, and Design on orchestration architecture, reasoning systems, tool use, reliability, and human-in-the-loop design to make sophisticated systems feel simple and controllable
• Own the full product path from insight through launch, adoption, packaging, and commercialization, working closely with Go-To-Market partners
• Create an excellent developer and partner experience, from authentication and documentation to observability, governance, and lifecycle management

Requirements:

• Bachelor's degree in Computer Science or equivalent field, or equivalent experience, with 8-10 years of proven product management experience at Lead PM scope, including delivery of complex zero-to-one products
• Solid experience building AI-native products, agents, orchestration systems, or intelligent workflows
• Strong product sense and UX judgment applied to technically complex systems, with a track record of making sophisticated capabilities feel simple and trustworthy to end users
• Deep understanding of agentic systems including context management, reasoning, orchestration, tool use, evaluation, permissions, and human oversight, combined with technical fluency to partner credibly with senior Engineering and AI/ML teams
• Commercial instincts around differentiation, adoption, packaging, and monetization, with the ability to translate deeply ambiguous technical possibilities into clear product strategy and elegant customer experiences
• Background in enterprise SaaS, revenue technology, CRM, or workflow automation