AI Product Manager, Enterprise AI

Zuora • Foster City, CA

18h • $115,800 - $173,600

About The Position

The AI Product Manager will own the strategy, roadmap, and outcomes for employee-facing Enterprise AI products, including a self-service AI learning experience, agentic applications, and autonomous agents. The role partners with AI Solutions Engineers, release managers, business leaders, architects, vendors, and corporate functions to deliver products, and owns the training, enablement, and messaging that support adoption. The position combines product management with teaching, writing, and communicating product value.

The Product Manager will conduct ongoing discovery with employees (referred to as ZEOs) and functional leaders, define requirements and priorities, guide agile delivery, and manage products from intake through retirement. The role also develops training and role-based learning resources, supports employees who build agents, communicates AI product and governance updates, defines and evaluates metrics and experiments, and applies security, privacy, and compliance guardrails.

The role supports Zuora’s Corporate Operations organization and Enterprise AI team, which builds, governs, supports, and enables change across the company’s AI foundation, including frontier model platforms, enterprise search, and AI agents. Its intended outcomes include improved employee AI skills and self-service, secure and easy-to-use AI products, and clear, consistent company-wide AI messaging.

Requirements

• 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; internal or enterprise software experience is ideal.
• Demonstrated ability to take a product or feature from discovery through launch and iteration.
• Working knowledge of LLMs and agentic workflows, with the 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 skills in a matrixed environment, working with engineering, security, and legal.
• Familiarity with Jira, Asana, Confluence, Slack, and Google Workspace.

Nice To Haves

• Experience with conversational AI, knowledge management, or employee self-service products.
• Experience building a learning hub or creating 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 SaaS company.

Responsibilities

• Define product vision, roadmap, and success measures aligned with Enterprise AI and Corporate Operations objectives.
• Translate employee needs into requirements, user stories, and acceptance criteria; prioritize the backlog using impact, effort, risk, and data.
• Conduct continuous discovery through interviews, surveys, usage and ticket data, and champion feedback.
• Understand employee learning needs and identify where AI can create value in their work.
• Map workflows, run pilots and experiments, and use results to determine what to build, change, or retire.
• Work with AI Solutions Engineers, architects, and vendors in an agile model to deliver product increments on a predictable cadence.
• Coordinate dependencies with Security, Legal, Data, HR, and Finance to support safe, timely delivery.
• Manage product releases from intake through retirement and maintain a current backlog.
• Create and deliver product training and enablement, including guides, demos, FAQs, live sessions, office hours, and role-based learning paths.
• Build and operate a self-service AI learning experience using formats such as short videos, interactive walkthroughs, and prompt and skill libraries.
• Provide enablement for employees building agents, including agent design basics, testing, and safe use of data and connectors within approved guardrails.
• Recruit, equip, and recognize AI champions and use their feedback and use cases to inform the product team.
• Write and own product messaging and company-wide AI communications, including launches, guidance, governance and policy changes, and wins.
• Communicate product roadmaps, status, and trade-offs to teammates, stakeholders, and leadership.
• Define and track product success metrics, such as self-service resolution, active use, proficiency, learning engagement, time saved, and satisfaction.
• Design pilots and experiments to reduce investment risk and report results with recommendations.
• Apply Enterprise AI guardrails, access controls, and review processes; partner with Security, Legal, and Compliance on privacy and security requirements.
• Monitor product usage, identify risks or misuse, and implement mitigations.

Benefits

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs.
• Medical, dental, and vision insurance.
• Generous, flexible time off, paid holidays, wellness days, and a company-wide year-end break.
• Paid parental leave, including fully paid leave for eligible employees subject to local policy.
• Learning and development stipend.
• Opportunities to volunteer and give back, including charitable donation matching where available.
• Mental wellbeing resources and support. Benefits may vary by location.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level