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Zuora

SaaS platform for subscription lifecycle management

AI Product Manager - Enterprise AI

Product ManagementConfirmed live in the last 24 hours
Full-timeFoster City, CA, USAIn-person

About the Job

Requirements

  • A bachelor’s degree in Business, Information Systems, Communications, Computer Science, or a related field, or equivalent experience.
  • At least 3 years of experience in product management, product ownership, or a closely related role such as technical program management, business systems analysis, or product operations, ideally for internal or enterprise software.
  • Demonstrated ability to take a product or feature from discovery through launch and iteration.
  • Working knowledge of large language models and agentic workflows, and ability to explain them to non-technical audiences.
  • Hands-on daily use of generative AI tools such as Claude, ChatGPT, Gemini, Copilot, or Glean.
  • Excellent writing and messaging skills, demonstrated through a portfolio or work samples.
  • Experience designing and delivering training or enablement for cross-functional audiences.
  • Experience defining product metrics and using data and qualitative feedback to make decisions.
  • Strong stakeholder management in a matrixed environment, working with engineering, security, and legal.
  • Familiarity with Jira, Asana, Confluence, Slack, and Google Workspace.

Responsibilities

  • Define the vision, roadmap, and success measures for assigned products, aligned to Enterprise AI and Corporate Operations objectives and key results.
  • Translate ZEO needs into clear requirements, user stories, and acceptance criteria.
  • Prioritize the product backlog using impact, effort, risk, and data, and make trade-offs visible to stakeholders.
  • Run continuous discovery with ZEOs and functional leaders through interviews, surveys, usage and ticket data, and champion feedback.
  • Understand what ZEOs need to learn, how they want to learn, and where AI creates value in their work.
  • Map workflows, run pilots and experiments, and use results to decide what to build, change, or retire.
  • Work with AI Solutions Engineers, architects, and vendors in an agile model to ship increments on a predictable cadence.
  • Coordinate dependencies with Security, Legal, Data, HR, and Finance so delivery is safe and timely.
  • Manage product releases from intake through retirement, and maintain a clear, current backlog.
  • Own training and enablement for each shipped product, including guides, demos, FAQs, live sessions, office hours, and role-based learning paths.
  • Build and run a self-service AI learning experience using formats such as short video, interactive walkthroughs, and prompt and skill libraries.
  • Deliver build-enablement for ZEOs who create agents, covering agent design basics, testing, and safe use of data and connectors within approved guardrails.
  • Recruit, equip, and recognize AI champions, and use them to bring feedback and use cases back to the product team.
  • Write and own product messaging and company-wide AI updates, including launches, guidance, policy and governance changes, and wins.
  • Make complex technical and policy changes clear, accurate, and appropriate for the audience.
  • Communicate roadmap, status, and trade-offs to teammates, stakeholders, and leadership.
  • Define and track product success metrics, including self-service resolution, active use, proficiency, learning engagement, time saved, and customer satisfaction or net promoter score.
  • Design pilots and experiments to de-risk investments, and report results with clear recommendations.
  • Apply Enterprise AI guardrails, access controls, and review processes to products.
  • Partner with Security, Legal, and Compliance to meet privacy and security requirements.
  • Monitor usage, identify risks or misuse, and implement mitigations.

Desired Qualifications

  • Experience with conversational AI, knowledge management, or employee self-service products.
  • Experience building a learning hub, video, or interactive learning content.
  • Experience running a champions or community program.
  • Experience with AI governance and responsible AI practices.
  • Prosci, CSPO, or similar certification.
  • Experience in a high-growth software-as-a-service company.

About the Company

Zuora

SaaS platform for subscription lifecycle management

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, CA
Founded
2007

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