Senior Product Manager – Agents and Intelligence

Agiloft develops contract lifecycle management software. The Senior Product Manager – Agents and Intelligence will lead agent-driven workflows and AI-powered insights across its CLM platform, defining product strategy and success metrics while coordinating with engineering, UX, and go-to-market teams.

Responsibilities:

• Own the roadmap and execution of agentic solutions on the Agiloft CLM platform, ensuring they drive measurable business and customer impact
• Co-lead a strategic initiative focused on delivering AI driven insights and optimizations throughout the product
• Identify high-value workflows across the contract lifecycle that can be effectively supported and enhanced by intelligent agents
• Dive deep on Agiloft core functionality to gain expert-level understanding of Agiloft capabilities
• Define and track success metrics for agentic workflows, ensuring adoption, customer satisfaction, and measurable ROI
• Collaborate closely with engineering teams to orchestrate updates to Agiloft’s APIs, enabling seamless data availability for agent-driven solutions
• Partner with UX and design teams to uncover user insights and ensure agentic experiences are intuitive, collaborative, and user-centered
• Prioritize and manage the product backlog, writing clear user stories, acceptance criteria, and product specifications
• Stay deeply informed about the contract lifecycle management (CLM) space, agentic AI advancements, and competitive offerings
• Drive cross-functional alignment with product marketing, sales enablement, and customer success to position Agiloft’s agentic solutions as market-leading
• Act as a product evangelist, internally and externally, for Agiloft’s agentic capabilities
• Partner with peers to shape and execute the roadmap for agent-enabled contract lifecycle innovations
• Other duties as assigned

Requirements:

• 5+ years experience as a product manager at a fast paced software company
• Advanced command of state of the art trends in building, measuring, and improving generative AI B2B applications
• Ability to prioritize ruthlessly and connect tactical execution with broader company strategy
• Strong experience defining success metrics and applying data-driven decision-making
• Background in enterprise B2B SaaS applications, ideally in legal tech, contract lifecycle management, ERP, CRM, or BPM systems
• Experience working closely with engineering teams to design and evolve APIs for ecosystem and agent enablement
• Strong storytelling, communication, and collaboration skills to influence across organizational boundaries
• Hands-on experience with agent frameworks, multi-agent collaboration, or orchestration platforms
• Experience with Model Context Protocol (MCP), agent tools, or similar technologies
• Background in building and scaling generative AI or agentic products in enterprise environments
• Experience with enterprise no-code platforms and extensibility strategies