VP of AI Platform
Zuora · Foster City, California, United States
About this role
## About Zuora Zuora is entering a new chapter in its evolution—rethinking how an established enterprise software company builds, delivers, and operates technology in an AI-native world. As AI and agentic technologies reshape enterprise software, the opportunity goes beyond adding AI capabilities to existing products. It requires rethinking underlying platforms, architecture, data foundations, and technical capabilities so intelligent systems can understand context, reason, take action, and deliver business outcomes. Zuora is investing in this transformation to build a more intelligent, connected, and adaptable technology platform—accelerating product innovation, creating new customer value, and enabling greater speed and efficiency. We’re looking for a **Vice President of AI Platform** to help define and build that foundation. --- ## The Opportunity The VP of AI Platform will define and lead the strategy, architecture, and development of shared AI platform capabilities that underpin Zuora’s next generation of products and experiences. This role is **not** limited to integrating large language models or deploying AI infrastructure. It’s about determining what Zuora needs to build, what to leverage from the evolving AI ecosystem, and how to create a scalable platform that helps product teams innovate quickly—without fragmenting the architecture or duplicating foundational capabilities. You’ll partner across **Product, Engineering, Data, Security, and other technology leaders** to establish the platform needed for AI-powered workflows, intelligent automation, and agentic experiences—translating an ambitious AI-native vision into practical technical strategy and helping move from experimentation to production at scale. --- ## Role & Responsibilities ### 1) Define the AI Platform Strategy and Architecture - Develop the vision, strategy, and technical architecture for Zuora’s AI platform aligned to the broader AI-native transformation. - Determine foundational capabilities needed for AI-powered products, intelligent workflows, and agentic applications across the portfolio. - Establish a coherent platform architecture enabling reuse, interoperability, extensibility, and rapid innovation. - Make pragmatic build-versus-buy decisions, leveraging external models/services/infrastructure where appropriate while investing in differentiation. - Create a roadmap balancing near-term product opportunities with long-term platform capabilities. ### 2) Build the Foundations for AI-Native Products - Develop shared capabilities so product teams can incorporate AI into customer experiences and workflows without rebuilding foundational infrastructure per use case. - Establish technical foundations for AI agents that can understand intent, access context, reason through tasks, interact with enterprise systems, and take appropriate action. - Define approaches for model integration and orchestration, context management, retrieval-augmented generation, tool use, and agent execution. - Enable secure and reliable access to enterprise data, business logic, APIs, and transactional capabilities. - Create reusable patterns and services to accelerate experimentation and reduce time from prototype to production. - Ensure the platform supports both conventional AI-enabled experiences and more autonomous multi-step agentic workflows as the technology matures. ### 3) Establish Enterprise-Grade AI Infrastructure and Governance - Build a secure, reliable, scalable pl
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