IT Product Manager - Billing and Revenue Systems

Pager Duty (NYSE:

PD) is a leader in Digital Operations Management. In an always‑on world, organizations of all sizes trust Pager Duty to help them deliver a perfect digital experience to their customers, every time. Teams use Pager Duty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on Pager Duty to succeed with Digital Transformation, Cloud Migration, and Dev Ops Modernization.

Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, Door Dash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.

We are seeking a highly experienced and technically proficient Billing and Revenue Systems IT Product Manager to drive the strategy, roadmap, and delivery of our critical billing, revenue recognition, and order‑to‑revenue (O2R) systems. The ideal candidate brings 5–8 years of dedicated O2R experience, with deep hands‑on expertise in Zuora Billing and Zuora Revenue (Rev Pro), and a strong foundation in finance and subscription revenue operations.

This role requires a candidate who understands the business impact behind every system decision — someone who can speak fluently in ARR, deferred revenue, and ASC 606 as comfortably as they navigate Zuora data models and API integrations.

This position demands a unique blend of product management acumen, financial domain expertise, technical depth, and the ability to bridge Finance, IT, and Engineering teams. You will also 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. You will partner closely with a Zuora Administrator who handles day‑to‑day operational work and support.

• Business Solutioning: Proactively identify and solve complex business challenges through benchmarking, competitive research, and stakeholder engagement across Finance, Sales, and Operations. Translate financial KPIs — including ARR, MRR, NRR, churn, and deferred revenue — into system requirements and deliver best‑in‑class solutions that incorporate emerging trends in subscription management and revenue recognition (ASC 606/IFRS 15).
• Requirements Translation & Execution: Transform high‑level business and finance objectives into clear, actionable system requirements that guide design and implementation phases with precision. Ensure requirements account for revenue accounting impact, financial close timelines, and audit readiness.
• Zuora Subject Matter Expert (SME): Serve as the organization’s primary authority on Zuora Billing and Zuora Revenue (Rev Pro) — including product architecture, data models, custom objects, workflow configurations, rule sets, and integration points within the broader O2R ecosystem (Salesforce CPQ, Net Suite ERP). Stay current on Zuora roadmap releases and proactively assess impact to existing configurations.
• Finance & Revenue Operations Partnership: Act as the key systems partner to Finance, Revenue Accounting, and Revenue Operations teams. Develop deep understanding of how billing system configurations drive financial outcomes, including revenue recognition schedules, contract modifications, standalone selling prices (SSPs), and period‑end close processes.
• System Design & Scalability: Partner with engineering and technical architects to ensure system designs are scalable, maintainable, and compliant with security and regulatory standards. Architect solutions that support business growth, new pricing models, and evolving revenue recognition requirements.
• AI‑Driven Process Innovation: Identify and champion opportunities to leverage AI, machine learning, and intelligent automation to streamline billing operations, reduce manual effort, and workflow automation. Use generative AI tools to accelerate requirements documentation, testing, and knowledge…