Own the vision, strategy, and roadmap for a portfolio of zero-to-one products, taking ideas from discovery through launch while aligning cross-functional teams and executive stakeholders.
Senior Product Manager – Agents and Intelligence
📜 Description
- Own the roadmap and execution of agentic solutions for the contract lifecycle management platform.
- Identify contract workflows where intelligent agents can improve efficiency and customer value.
- Co-lead initiatives delivering AI-driven insights and product optimizations.
- Define and track adoption, satisfaction, and ROI metrics for agentic workflows.
- Partner with engineering on API updates and with UX, design, and go-to-market teams on product delivery.
- Manage the product backlog, write specifications and user stories, and evangelize agent capabilities.
🛠️ 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.
✨ Benefits
- Floating holidays
- Quarterly wellness day
Full job description
Position Overview
Contracts embody the complex and dynamic DNA of an organization’s most critical business relationships. As a leading CLM platform, Agiloft has a unique opportunity to help businesses discover, understand, manage and leverage their contracts in innovative, practical, and effective new ways.
The Senior Product Manager – Agents and Intelligence, will be responsible for shaping and leading the development of agent-driven workflows at Agiloft, capturing data insights across our platforms, and leveraging those insights to deliver business value to our customers. You will identify high-value opportunities where agents can unlock efficiency across the contract lifecycle, drive usage and enhance the long-term value of the product. This role requires a blend of strategic vision and execution discipline: defining and tracking success metrics for agentic workflows, orchestrating updates to Agiloft’s APIs to ensure seamless data accessibility, observing and productizing data insights, and working across UX, engineering, legal knowledge engineering, and go-to-market teams to deliver innovative solutions that delight customers.
You will bring curiosity, insight, and a strong track record of innovation to create meaningful, user-centered product experiences. As a champion of agentic solutions, you will play a pivotal role in positioning Agiloft as the leader in applying intelligent agents to contract lifecycle management.
Job Responsibilities
Required Qualifications
- 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.
Preferred Qualifications
- 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.
- Willingness to travel up to 10% for customer workshops, conferences, and research studies.
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