Principal Product Manager - AI Foundations

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

Pioneering Technology:
At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.

Collaborative Culture:
We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.

Global Impact:
Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

This is an internal AI product management role within Coupa's AI Center of Excellence (AI COE). We are seeking an operationally disciplined, strategic Senior Product Manager to lead our AI Foundations. You will define the vision, delivery, and scaling of our core AI platform, overseeing the AI-specific integration and data layer that connects our AI models to enterprise systems — complementing, not duplicating, the broader enterprise integration ecosystem owned by IT Integrations.

Acting as the AI-focused strategic bridge between business operations, AI Platform and AI Engineering teams, IT Portfolio Leads, and our internal community of practitioners, you will establish the trust policies and operational governance required to deploy and scale high-impact AI initiatives safely across the organization.

• AI Roadmap & Planning: Define and communicate the AI platform vision and roadmap. Lead quarterly planning to align stakeholders on priorities, ensuring the team remains focused on high-value initiatives.
• Backlog & Execution: Own the AI product backlog. Facilitate regular grooming sessions to break down requirements into actionable tasks, ensuring clear dependency management and scope control.
• Operational Cadence: Drive the day-to-day operational rhythm, including risk assessment and cross-functional syncs, and collaborate with the Enterprise PMO on status reporting and program tracking, to ensure the platform meets its delivery milestones.

• Integrations Management: In partnership with IT Integrations and Enterprise Architecture, prioritize which internal systems, tools, and data systems should be connected to our AI models to maximize enterprise productivity.
• Activating Tools: Coordinate the rollout of new integrations in coordination with AI delivery teams and IT Change Management. Ensure that when a new data source is connected, it is documented, tested, and ready for end-user teams to adopt.
• Operational Monitoring: Partner with AI Platform and AI Engineering teams, who own technical monitoring, to review platform integration health and performance — ensuring connections between our AI models and company applications are running smoothly and meeting expectations.

• Audit & Compliance: Partner with security and legal to operationalize AI Governance policies. Maintain clear records of how and when our AI models access company data, and feed platform usage, reliability, and uptime metrics into the Enterprise PMO's comprehensive program status tracking and reporting to leadership.
• Platform Enablement: Act as the primary storyteller for the platform, showcasing successful agent deployments to foster a culture of  agentic fluency  across the enterprise.
• Ecosystem Acceleration: Cultivate a community of internal subject matter experts to drive platform adoption. Empower these partners to share best practices, serve as frontline support, and facilitate rapid prototyping sprints that surface and scale high-impact, unit-specific use cases.