About The Position

As Lead Product Manager for Revenue OS Platform Commercialization, you will shape the evolution of Revenue OS from an application suite into an extensible platform that customers, developers, and AI agents can build on and transact with. You will own its data foundations, APIs, integrations, and headless capabilities, working across platform architecture, AI orchestration, and commercial strategy. In partnership with Engineering, AI/ML, Design, and Go-To-Market teams, you will turn complex orchestration challenges into trusted products with measurable business impact. The team builds the AI layer powering Zoom’s revenue products, combining engineering, design, and go-to-market expertise to ship intelligent workflows and scalable platform foundations. This is a high-visibility role shaping an emerging revenue category at Zoom.

Requirements

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

Nice To Haves

  • Background in enterprise SaaS, revenue technology, CRM, or workflow automation.

Responsibilities

  • Define and ship the headless Revenue OS strategy, including APIs, MCP protocols, and agent-facing capabilities, and establish 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 connecting 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 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.
  • Own the product path from insight through launch, adoption, packaging, and commercialization in partnership with Go-To-Market teams.
  • Create an excellent developer and partner experience, including authentication, documentation, observability, governance, and lifecycle management.

Benefits

  • Zoom offers a benefits program with a variety of perks, benefits, and options intended to support employees’ physical, mental, emotional, and financial health, work-life balance, and community involvement.
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