Senior Product Manager - 11512

What You'll Do:

This is a high-impact role at the intersection of product innovation, AI/ML strategy, and enterprise workflow transformation. You’ll work cross-functionally with engineering, data science, design, and go-to-market teams to turn customer needs and AI advancements into tangible product
Own product management responsibilities for AI-driven platform capabilities, with a focus on designing and launching autonomous AI agents that automate complex enterprise workflows
Partner closely with UX research and design teams to craft intuitive, trustworthy, and action-oriented agentic AI experiences that seamlessly blend human guidance with autonomous execution
Translate advances in LLMs, multi-agent systems, RAG, MCP, and agent orchestration frameworks into scalable product capabilities that deliver measurable productivity and automation gains
Collaborate with data science, ML engineering, and platform teams to design and build robust AI agent orchestration, workflow automation, and tool integration capabilities
Define product requirements for AI agents, copilots, and autonomous workflows, including reasoning, planning, tool usage, and multi-step task execution
Design and refine AI-native user experiences including conversational interfaces, copilot workflows, and human-in-the-loop oversight patterns
Conduct user research and analyze feedback to continuously improve agent behavior, decision transparency, response quality, and workflow completion
Define and monitor success metrics such as agent task completion rates, model accuracy, workflow automation impact, user engagement, and trust signals
Work closely with cross-functional partners across engineering, GTM, customer success, and product marketing to ensure successful launch, adoption, and scaling of AI capabilities
Advocate internally and externally for agentic AI platforms and intelligent automation, helping teams and customers understand emerging AI technologies and their practical value
Lead products through the full lifecycle — from concept and experimentation to production scale and long-term platform evolution
Prioritize ruthlessly across competing initiatives to focus teams on high-impact AI capabilities and customer outcomes

What You Will Bring to Coupa:

5+ years of product management experience, including 3+ years building AI-powered products and 2+ years launching AI agents, autonomous workflows, or AI copilots
Strong understanding of LLMs, agentic AI architectures, multi-agent orchestration, MCP/tool usage frameworks, and RAG-based systems
Demonstrated ability to translate complex AI capabilities into intuitive product experiences and actionable product requirements
Experience partnering closely with data science, ML engineering, and UX teams to deliver AI-powered features in production environments
Strong product intuition with the ability to identify high-value AI automation opportunities and prioritize capabilities that drive measurable impact
Experience driving go-to-market activities including pricing strategy, packaging of AI capabilities, sales enablement, and customer advocacy in partnership with product marketing, sales, and customer success teams
Curiosity and adaptability to stay ahead in a rapidly evolving AI ecosystem, continuously learning about new models, agent frameworks, and emerging standards like A2A and MCP
Excellent communication and storytelling skills to align teams and clearly articulate AI product vision and value to technical and non-technical stakeholders
Experience working in agile environments, building MVPs, running experiments, and iterating quickly on AI features
An entrepreneurial mindset combined with a hands-on, roll-up-your-sleeves attitude to solving complex problems
Experience working cross-functionally in SaaS organizations, leveraging data and insights to inform product decisions
Proven ability to influence cross-functional teams without formal authority and drive alignment across complex initiatives
Preferred experience in procurement, sourcing, supply chain, or spend management domains, including familiarity with Source-to-Pay (S2P), Procure-to-Pay (P2P), Request-to-Order (R2O), or supplier management workflows