Senior Product Manager

As the Senior Product Manager for AI Products, you will play a critical role in shaping the future of Coupa’s next-generation AI capabilities You will help bring to life Coupa’s vision for Agentic AI — autonomous, intelligent agents that drive business decisions, automate workflows, and deliver continuous value across procurement, finance, and supply chain 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- Experience working in agile environments, building MVPs, running experiments, and iterating quickly on AI features 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 An entrepreneurial mindset combined with a hands‑on, roll‑up‑your‑sleeves attitude to solving complex problems Strong product intuition with the ability to identify high-value AI automation opportunities and prioritize capabilities that drive measurable impact Excellent communication and storytelling skills to align teams and clearly articulate AI product vision and value to technical and non-technical stakeholders Demonstrated ability to translate complex AI capabilities into intuitive product experiences and actionable product requirements 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 5+ years of product management experience, including 3+ years building AI-powered products and 2+ years launching AI agents, autonomous workflows, or AI copilots Proven ability to influence cross‑functional teams without formal authority and drive alignment across complex initiatives 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 Experience partnering closely with data science, ML engineering, and UX teams to deliver AI-powered features in production environments Experience working cross-functionally in SaaS organizations, leveraging data and insights to inform product decisions Strong understanding of LLMs, agentic AI architectures, multi-agent orchestration, MCP/tool usage frameworks, and RAG-based systems #J-18808-Ljbffr Socket.dev