IT Product Manager - Billing and Revenue Systems
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About This Role
PagerDuty is seeking an experienced IT Product Manager to drive the strategy and delivery of billing, revenue recognition, and order-to-revenue systems. The ideal candidate has 5-8 years of experience in IT product management, with deep hands-on expertise in Zuora Billing and Zuora Revenue. The role requires a unique blend of product management acumen, financial domain expertise, technical depth, and the ability to bridge Finance, IT, and Engineering teams. The IT Product Manager will serve as an early adopter and champion of AI-powered tools and automation to continuously improve the efficiency and intelligence of billing and revenue operations.
Key ResponsibilitiesAI-extracted
- 1Proactively identify and solve complex business challenges through benchmarking, competitive research, and stakeholder engagement across Finance, Sales, and Operations.
- 2Translate financial KPIs into system requirements and deliver best-in-class solutions that incorporate emerging trends in subscription management and revenue recognition.
- 3Serve as the organization's primary authority on Zuora Billing and Zuora Revenue, including product architecture, data models, custom objects, workflow configurations, rule sets, and integration points.
- 4Partner with engineering and technical architects to ensure system designs are scalable, maintainable, and compliant with security and regulatory standards.
- 5Lead agile delivery, including backlog prioritization, sprint planning, daily stand-ups, and retrospectives to drive continuous improvement and velocity.
RequirementsAI-extracted
- 5-8 years of experience in IT product management, systems analysis, or similar roles focused on financial/billing systems within a SaaS or subscription business environment.
- Deep, hands-on experience configuring and implementing Zuora Billing and Zuora Revenue, including subscription products, rate plans, discount schedules, billing rules, revenue recognition rules, performance obligations, and custom objects.
- Strong understanding of SaaS subscription financial models and revenue metrics, including ARR, MRR, NRR, churn, and gross retention.
- Comprehensive understanding of the subscription lifecycle, including Quote-to-Order, Order-to-Cash, Order-to-Revenue, Invoicing, Payment Processing, and Revenue Accounting.
- Demonstrated ability to apply AI and automation tools to improve operational workflows.
Perks & BenefitsAI-extracted
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