AI Product Manager, Enterprise AI
Zuora
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Benefits offered by this job
Job summary
Zuora, Inc. is seeking an AI Product Manager to own the strategy, roadmap, and outcomes for a set of employee-facing Enterprise AI products. You will shape a modern, self-service AI learning experience and AI agentic applications, partnering with AI Solutions Engineers and business leaders to land them successfully.
You will teach, write, and tell the story while aligning with Enterprise AI and Corporate Operations OKRs to deliver impact across the organization.
Qualifications
- Bachelor’s degree in Business, Information Systems, Communications, Computer Science, or a related field, or equivalent experience.
- 3+ years of experience in product management, product ownership, or related role for internal or enterprise software.
- Demonstrated ability to take a product from discovery through launch and iteration.
- Working knowledge of LLMs 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 with a portfolio or samples.
- Experience designing and delivering training or enablement for cross-functional audiences.
- Experience defining product metrics and using data/feedback to inform decisions.
- Strong stakeholder management in a matrixed environment with engineering, security, and legal.
- Familiarity with Jira, Asana, Confluence, Slack, and Google Workspace.
Responsibilities
- Define the vision, roadmap, and success measures for your products, aligned to Enterprise AI and Corporate Operations OKRs.
- Translate needs into clear requirements, user stories, and acceptance criteria.
- Prioritize backlog using impact, effort, risk, and data, making trade-offs visible to stakeholders.
- Run continuous discovery with executives and leaders: interviews, surveys, usage data, and feedback.
- Understand learning needs and how AI adds value in users' work.
- Map workflows, run pilots, and decide what to build, change, or retire.
- Collaborate with engineers, architects, and vendors to ship increments on a cadence.
- Coordinate with Security, Legal, Data, HR, and Finance to ensure safe deliveries.
- Manage releases from intake through retirement with a clear backlog.
- Own training and enablement: guides, demos, FAQs, live sessions, and learning paths.
Skills
Education
Tools
Job description
At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.
At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.
We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.
As an AI Product Manager, you will own the strategy, roadmap, and outcomes for a set of employee-facing Enterprise AI products. That includes a modern, self-service AI learning experience and AI agentic applications and autonomous agents. You will partner with AI Solutions Engineers, release managers, and business leaders to deliver those products, and you will own the training, enablement, and messaging that make them land. You are a PM who can also teach, write, and tell the story.
- Define the vision, roadmap, and success measures for your products, aligned to Enterprise AI and Corporate Operations OKRs.
- Translate ZEO needs into clear requirements, user stories, and acceptance criteria.
- Prioritize your backlog using impact, effort, risk, and data, and make trade-offs visible to stakeholders.
- Run continuous discovery with ZEOs and functional leaders: 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 the 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 on time.
- Manage releases of your products from intake through retirement, and keep a clear, current backlog.
- Own training and enablement for every product you ship: guides, demos, FAQs, live sessions, office hours, and role-based learning paths.
- Build and run a self-service AI learning experience that uses modern formats such as short video, interactive walkthroughs, 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 the messaging for your products and for company-wide AI updates, including launches, guidance, policy and governance changes, and wins.
- Obsess over the right words, audience, and timing. Make complex technical and policy changes clear, accurate, and human.
- Communicate roadmap, status, and trade-offs clearly to teammates, stakeholders, and leadership.
- Define and track success metrics for your products, such as self-service resolution, active use, proficiency, learning engagement, time saved, and satisfaction (CSAT/NPS).
- Design pilots and experiments to de-risk investments, and report results with clear recommendations.
- Apply Enterprise AI guardrails, access controls, and review processes to your products.
- Partner with Security, Legal, and Compliance to meet privacy and security requirements.
- Monitor usage, spot risks or misuse, and implement mitigations.
- ZEOs with deeper AI skill, including more ZEOs who can build agents safely.
- Higher self-service resolution and a better employee experience with Zoe.
- AI products that are secure, governed, and easy to use.
- Clear, consistent AI messaging across the company.
- Bachelor’s degree in Business, Information Systems, Communications, Computer Science, or a related field, or equivalent experience.
- 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 LLMs and agentic workflows, and 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, shown 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 tools such as Jira, Asana, Confluence, Slack, and Google Workspace.
- 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 SaaS company.
Zuora wants to move fast and responsibly with AI. This role owns the products and the skills that make that possible, and it has a direct line to the leaders who set Zuora’s AI direction.
Zuora’s Corporate Operations team is our internal technology organization. We create technology experiences that connect our teams and empower our global ZEOs with productivity and self-service, while strengthening security, compliance, and scale.
The Enterprise AI team builds, governs, supports, and enables change across Zuora’s AI foundation: frontier model platforms, enterprise search, and a growing portfolio of AI agents. Our focus is a secure, governed foundation that scales, and helping every ZEO build real AI skill on top of it.
Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:
- Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
- Medical, dental, and vision insurance
- Generous, flexible time off, plus paid holidays, wellness days, and a company‑wide year‑end break
- Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
- Learning & development stipend to support ongoing growth
- Opportunities to volunteer and give back, including charitable donation matching where available
- Mental wellbeing resources and support
- Benefits may vary by location; details will be shared during the interview process
ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:
- Collaborate deeply across teams and regions
- Learn constantly and iterate often
- Build an inclusive, high-performance culture where people feel inspired, connected, and valued
Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.
Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).
The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here.
Base Pay Details
$115,800—$173,600 USD
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