Own the roadmap and execution of agentic solutions on the Agiloft CLM platform, ensuring they drive measurable business and customer impact.
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.

5+ years experience as a product manager
Proven record of translating AI capabilities into usable, valuable business workflows (not just experimentation).
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.
Experience working with distributed and multinational teams.
Willingness to travel up to 10% for customer workshops, conferences, and research studies.

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.

Agiloft