About The Position

As Lead Product Manager for Revenue OS Platform Commercialization, you'll shape how Revenue OS evolves from a powerful application suite into an extensible platform that customers, developers, and AI agents can build on and transact with. You'll own the data foundations, APIs, integrations, and headless capabilities at the core of this transformation, working at the intersection of platform architecture, AI orchestration, and commercial strategy. Partnering with Engineering, AI/ML, Design, and Go-To-Market, you'll turn complex orchestration challenges into simple, trusted products with measurable business impact. This is a high-visibility role where your platform decisions shape an emerging revenue category for Zoom.

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.

Nice To Haves

  • Background in enterprise SaaS, revenue technology, CRM, or workflow automation is a strong plus.

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.

Benefits

  • award-winning workplace culture
  • commitment to delivering happiness
  • variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health
  • support work-life balance
  • contribute to their community in meaningful ways
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