Full-Time

Product Manager

AI Platform

Zuora

Zuora

1,001-5,000 employees

SaaS platform for subscription lifecycle management

Compensation Overview

$146.5k - $201.4k/yr

Company Historically Provides H1B Sponsorship

San Mateo, CA, USA

Hybrid

Hybrid role; in-office in Foster City, CA at least 3 days per week.

Category
Product (2)
,
Required Skills
LLM
Product Management
Machine Learning
REST APIs
Data Analysis
Requirements
  • 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
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
Desired Qualifications
  • 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

Zuora provides a software-as-a-service platform that helps businesses run subscription-based models. It covers the entire customer lifecycle from acquiring customers to billing, payments, and revenue reporting. The core products include Zuora Billing and Zuora RevPro, which automate and streamline order-to-cash processes, recurring revenue management, and revenue recognition. Unlike many generic ERP tools, Zuora combines billing, revenue recognition, and financial reporting for subscription businesses in one system, serving a wide range of customers from startups to Fortune 100 firms and across technology, media, and telecom. Its goal is to enable companies to adopt or optimize subscriptions, scale efficiently, and improve financial operations through automation and integrated analytics.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Redwood City, California

Founded

2007

Simplify Jobs

Simplify's Take

What believers are saying

  • Silver Lake and GIC's April 2025 acquisition provides growth capital.
  • Partnerships with Workday, Nuvei, and Growfin expand revenue ecosystem.
  • Zuora Collections launch optimizes cash flow for subscription clients.

What critics are saying

  • Silver Lake cuts engineering talent, stalling AI innovation within 12 months.
  • Chargebee steals mid-market share via Salesforce integrations in 18 months.
  • Stripe Billing dominates AI startups' usage models in 6 months.

What makes Zuora unique

  • AI-Ready Monetization Catalog unifies pricing, packaging, and entitlements metadata.
  • Zuora Central automates full order-to-cash for enterprise subscription operators.
  • Feature-level monetization integrates entitlements without separate systems.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Performance Bonus

Company Equity

401(k) Company Match

Unlimited Paid Time Off

Paid Holidays

Parental Leave

Professional Development Budget

Mental Health Support

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Subscription Insider
Nov 18th, 2025
Zuora Unveils AI-Ready Monetization Catalog, Introducing a Unified Architecture for Dynamic Pricing and Offer Design

Zuora unveils AI-Ready Monetization Catalog, introducing a unified architecture for dynamic pricing and offer design. The new catalog becomes a single source of truth for pricing, packaging, usage, and entitlements - marking one of Zuora's most significant architectural shifts in years. Zuora today unveiled its AI-Ready Monetization Catalog, a new architectural layer designed to unify how companies structure pricing, packaging, usage, and feature-level entitlements. While the announcement includes familiar capabilities such as dynamic pricing and bundles, the underlying shift is more consequential: Zuora is introducing a single metadata-driven foundation intended to replace the fragmented monetization logic that enterprises often distribute across storefronts, CPQ, billing, and revenue systems. This update marks one of Zuora's most significant monetization architecture enhancements since it introduced usage rating, reflecting how hybrid and AI-driven business models are reshaping the needs of enterprise subscription operators. What's actually new. 1. A unified Monetization Catalog that consolidates monetization logic across channels For many subscription companies, pricing, usage rules, entitlements, and revenue treatments live in separate systems - often with custom fields, manual workarounds, or inconsistent logic between sales and finance. The new Catalog acts as a single source of truth, pushing consistent rules into storefronts, CPQ, billing, and revenue recognition. This could materially reduce reconciliation issues and operational friction. 2. Attribute-driven dynamic pricing with far greater flexibility Zuora's prior dynamic pricing capabilities required considerable customization for enterprise deal structures. The new model allows unlimited customer and product attributes to drive pricing - such as region, contract configuration, usage volume, or business segment - representing a meaningful expansion beyond earlier offerings. 3. Feature-level monetization tied directly to entitlements The Catalog integrates entitlement logic and pricing logic in one layer, enabling companies to monetize at the feature level without building separate entitlement systems. This is increasingly necessary for SaaS, media, and API-based services that sell access to capabilities rather than static bundles. 4. A structured metadata foundation designed for future AI-based pricing and packaging While this release does not introduce standalone AI optimization tools, it establishes a semantic layer that makes pricing rules, entitlements, and usage attributes interpretable by LLMs and future AI copilots. This groundwork positions Zuora for AI-driven offer creation and optimization capabilities in later releases. 5. Unified logic across storefronts, CPQ, billing, and revenue systems Consistent rules across commercial and financial systems address a long-standing challenge for operators: different platforms interpreting pricing logic differently. This alignment is genuinely new and has practical implications for speed, accuracy, and revenue governance. What's not new. The announcement also includes capabilities many customers already recognize - usage-based billing, bundles, and general "faster time to market" messaging. These remain important contextually but are not new product innovations. Industry perspective. Enterprise users quoted in the announcement highlight long-standing bottlenecks. Tradeweb, for instance, noted that traditional systems often force companies to maintain "hundreds of custom fields" just to model real-world deals. MGI Research pointed to increased pressure on teams to launch new pricing and packaging without increasing operational strain. These observations underscore why a unified monetization layer is strategically relevant now, particularly as businesses shift to hybrid pricing, usage-based models, and AI-driven offerings. Insider take. Zuora's Monetization Catalog represents a meaningful architectural step forward. While some elements are repackaged, the introduction of a unified metadata-driven layer for pricing, usage, entitlements, and revenue logic is significant - especially for enterprise operators navigating complex or hybrid monetization models. This move also places Zuora among the small number of vendors attempting to solve monetization logic fragmentation as an architectural challenge rather than a series of standalone features. The shift aligns with broader trends toward attribute-based pricing, dynamic offer experimentation, and AI-driven monetization. For subscription executives, the practical opportunities include: * cleaner alignment between product, finance, engineering, and sales systems * reduced reliance on custom fields and manual reconciliation * faster offer iteration * better readiness for future AI-driven pricing tools In short: the Catalog isn't just a new SKU - it's a foundational step toward more flexible, scalable, and AI-compatible monetization architectures.

readmagazine.com
Aug 28th, 2025
Zuora and Workday Partners for Revenue Management and Financial Accuracy

Zuora, a leading monetization platform for modern business, announced an expanded partnership with Workday, integrating Zuora's order-to-cash automation with Workday Financial Management.

PaySpace Magazine
Aug 20th, 2025
Nuvei Partners With Zuora to Power Subscription Economy

The collaboration enables global enterprises to manage recurring revenue more efficiently by combining Zuora's monetization tools with Nuvei's global acquiring network, support for local payment methods, and real-time transaction optimization.

FF News
Aug 14th, 2025
Growfin Partners with Zuora to Transform Accounts Receivable for the Enterprise

Growfin, the AI-native accounts receivable (AR) automation leader, announced a strategic partnership with Zuora(R), a leading monetization platform for modern business.

MarTech360
May 21st, 2025
Zuora Launches Zuora Collections to Boost Cash Flow

Zuora launches Zuora Collections to boost cash flow.