Senior Product Manager – Agents and Intelligence

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the roadmap and implementation of agentic solutions on the Agiloft CLM platform, guaranteeing measurable business and customer impact.

• Co-lead a strategic initiative aimed at leveraging AI-driven insights and optimizations across the product.

• Identify high-value contract lifecycle workflows that are supported or enhanced by intelligent agents.

• Develop an expert-level understanding of Agiloft's core functionalities.

• Define and monitor success metrics for agentic workflows, encompassing adoption rates, customer satisfaction, and ROI.

• Collaborate with engineering teams to coordinate Agiloft API updates for agent-driven solutions.

• Partner with UX and design teams to gather user insights and create intuitive, user-centered agentic experiences.

• Prioritize and manage the product backlog, including user stories, acceptance criteria, and product specifications.

• Keep abreast of developments in the CLM space, advancements in agentic AI, and competitive offerings.

• Align product marketing, sales enablement, and customer success around Agiloft's agentic solutions.

• Advocate for Agiloft's agentic capabilities both internally and externally.

• Collaborate with colleagues on the roadmap for innovations in agent-enabled contract lifecycle management.

• Perform additional duties as assigned.

⛳️ Requirements

• Minimum of 5 years of experience as a product manager in a fast-paced software company.

• Advanced knowledge of the latest trends in building, measuring, and enhancing generative AI B2B applications.

• Ability to prioritize effectively and align tactical execution with broader company strategies.

• Strong experience in defining success metrics and utilizing data-driven decision-making.

• Background in enterprise B2B SaaS applications, preferably in legal tech, contract lifecycle management, ERP, CRM, or BPM systems.

• Experience collaborating closely with engineering teams to design and improve APIs for ecosystem and agent enablement.

• Excellent storytelling, communication, and collaboration skills to influence across organizational boundaries.

• Hands-on experience with agent frameworks, multi-agent collaboration, or orchestration platforms.

• Familiarity with Model Context Protocol (MCP), agent tools, or similar technologies.

• Experience in building and scaling generative AI or agentic products within enterprise environments.

• Knowledge of enterprise no-code platforms and extensibility strategies.

• Willingness to travel up to 10% for customer workshops, conferences, and research studies.

🏝️ Benefits

• Floating holidays.

• Quarterly wellness day with no questions asked.

• Healthy work/life balance.

• Employee Resource Groups (ERGs).