Lead Product Manager - Zoom Revenue Accelerator
What you can expect
Define how AI agents coordinate across the full revenue lifecycle. You'll partner with Engineering, AI/ML, Design, and customers to turn complex orchestration into simple, trusted products. This role shapes the intelligence layer that makes AI-powered revenue workflows coherent and commercially impactful.
About the Team
We build the AI layer powering Zoom's revenue products. Our team connects engineering, design, and go-to-market to ship intelligent workflows. We exist to turn AI capability into measurable customer value.
Responsibilities
- Defining the vision and roadmap for agentic orchestration, translating rapidly evolving AI capabilities into a clear, durable product strategy.
- Partnering with Engineering and AI/ML on orchestration architecture, reasoning systems, tool use, reliability, and human-in-the-loop design.
- Collaborating with Design to make sophisticated agentic systems appear simple, intuitive, and controllable for end users.
- Owning the full product path from insight through launch, adoption, packaging, and commercialization in close alignment with Go-To-Market partners.
- Designing how agents, data, context, tools, and workflows connect to accomplish complex revenue jobs end-to-end.
- Identifying opportunities where orchestration can fundamentally reinvent revenue workflows rather than simply automate existing steps. Prototyping and iterating quickly with customers to validate product-market fit and surface durable business value.
What we're looking for
- Hold Bachelors in Computer Science or equivalent and/or equivalent experience with 8-10 years proven experience operating at Lead PM scope, ideally delivering complex zero-to-one products.
- Bring solid experience building AI-native products, agents, orchestration systems, or intelligent workflows.
- Apply well-developed product sense and UX judgment to make technically complex systems appear simple and trustworthy.
- Show a thorough understanding of agentic systems including context management, reasoning, orchestration, tool use, evaluation, permissions, and human oversight. Demonstrate deep technical fluency and credibility when partnering with senior Engineering and AI/ML teams.
- Apply solid commercial instincts around differentiation, adoption, packaging, and monetization to shape product direction. Turn deeply ambiguous technical possibilities into a clear product strategy and an elegant customer experience.
- Bring experience in enterprise SaaS, revenue technology, CRM, or workflow automation as a bonus.
Salary Range or On Target Earnings
Not included in the source posting: about the role, what you'll do, benefits.
Skills
Who can apply
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