Product Manager

• Own and execute the product vision for Coupa’s Document Intelligence AI products and capabilities
• Embed into Data Science Research and AI Platform product teams and continuously validate hypotheses and iterate
• Collaborate with AI talent and use research infrastructure, including high-end GPU clusters and large-memory machines
• Partner with UX research and design teams to create reliable, intuitive, context-aware, and action-oriented AI experiences
• Engage with customers and customer-facing teams to gather deep customer insights
• Translate LLMs, embeddings, and other AI technologies into practical product features
• Define and monitor product success metrics including model precision, response relevance, adoption rates, and user satisfaction
• Coordinate with engineering, go-to-market, customer success, and product marketing teams for launches and adoption
• Evangelize complex AI technologies internally and externally
• Drive products through design, development, and long-term adoption
• Prioritize organizational initiatives to maximize impact
• Continuously improve digital product delivery

Senior Product Manager, Coupa AI Document Intelligence

• Take full end-to-end ownership of the product, from vision and roadmap to backlog management, stakeholder engagement, and business requirements
• Champion the product vision and evaluate development outcomes against it
• Ensure day-to-day product operation, including incident management and internal SLA compliance
• Structure a physical product portfolio, including variants, standards, and country-specific rules, into actionable user stories
• Present arguments, roadmap, and vision to senior stakeholders
• Drive stakeholder alignment and buy-in
• Collaborate with the development team on product delivery

Senior Product Owner

• Decide what gets built and reject more ideas than are accepted
• Reduce pressure to add integrations by prioritizing the most valuable product work
• Turn customer feedback, usage data, and competitive gaps into a focused list of initiatives
• Work closely with engineering to validate estimates
• Use incomplete data to make product decisions
• Ship product work and build the product function from scratch