About the Job
At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.
We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.
As a Product Manager, AI Platform at Zuora, you will define and deliver the foundational platform that powers all of Zuora's AI capabilities. You'll own the end-to-end architecture—from the agent orchestration layer to user-facing interfaces—that enables intelligent, context-aware experiences across our product suit...
Key Responsibilities
Own AI Platform Strategy – Lead the roadmap for Zuora's AI Platform, including the agent-to-application interaction layer, orchestration and session management, persona-based agent frameworks, and the centralized tools layer that connects agents to Zuora's services and APIs.
Enable AI Across the Zuora Suite – Partner with application product teams across Billing, Revenue, Payments, CPQ, and Platform to enable their AI capabilities. Provide platform components, patterns, and UX standards that allow teams to build domain-specific experiences while ensuring a coherent end-to-end user experience across the product portfolio.
Drive Platform Architecture Decisions – Partner with engineering on critical technical choices across the stack: cloud infrastructure services, agent development frameworks, memory and context management, and tool integrations that enable agent capabilities.
Build Intelligent User Experiences – Define how AI integrates into Zuora's applications, including contextual awareness, conversational interfaces, and seamless interactions across different entry points and modalities.
Establish Enterprise Controls – Own the product strategy for AI governance including permissions, configuration management, audit capabilities, and human-in-the-loop controls that give enterprise customers confidence in AI-assisted operations.
Evolve Platform Capabilities – Drive development of foundational features that make AI agents smarter, more personalized, and more useful over time—including memory, context management, automation, and new interaction paradigms.
Lead Rapid Iteration Cycles – Establish product feedback loops combining quantitative analytics (usage instrumentation, in-app feedback tracking) with qualitative customer insights (structured interviews, session replay analysis) to enable frequent AI releases and continuous improvement.
Drive Cross-Functional Execution – Collaborate across engineering, design, and product teams to deliver cohesive AI experiences. Lead UX audits to ensure consistent component usage and establish decision frameworks for when custom experiences add value versus complexity.
Establish External Thought Leadership – Represent Zuora in customer advisory discussions, industry events, and analyst briefings to position Zuora as a leader in enterprise AI platform innovation.
Required Skills & Abilities
5-8+ years of product management experience with demonstrated success at leading enterprise SaaS or platform companies, with at least 2 years focused on AI/ML platforms, developer platforms, or foundational infrastructure products
Deep experience building AI/ML platforms, including LLM orchestration, agent frameworks, conversation management, or similar technologies that power intelligent user experiences
Strong technical foundation in platform architecture, API design, event-driven systems, and distributed architectures—comfortable partnering with engineering on decisions involving WebSocket protocols, agent orchestration, and memory management
Proven success with platform products serving multiple internal and external consumers, including experience defining abstractions, establishing governance models, and balancing platform flexibility with product consistency
Strong cross-functional collaboration skills with demonstrated ability to influence and align multiple product teams, establish shared standards, and drive adoption of platform capabilities across an organization
Experience shipping AI features to enterprise customers, including navigating requirements around security, audit, permissions, and human-in-the-loop controls
Data-driven product development approach with experience instrumenting features, analyzing usage patterns, and using feedback loops to drive rapid iteration
Executive presence and ability to influence stakeholders across functions, including engineering leadership and C-level audiences
Bachelor's degree in Computer Science, Engineering, or related technical field
Experience with agent frameworks and orchestration (LangChain, LangGraph, AWS Bedrock/AgentCore, or similar)
Familiarity with MCP (Model Context Protocol) or similar tool-use patterns for AI agents
Background in subscription billing, revenue platforms, or enterprise financial systems (Zuora, Salesforce, Oracle, SAP)
Experience with real-time communication protocols and event-driven architectures
Track record of building platforms that serve both internal product teams and external developers
Advanced degree in Computer Science, AI/ML, or a related field
