Senior Product Manager – Agents and Intelligence
- Compensation
- Not disclosed
- Location
- US
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Product
- Posted
Skills
Must have
- Product Management Experience: At least 5 years of product management experience within a fast-paced software company.
- Generative AI Expertise: Advanced knowledge of current approaches to building, measuring, and improving generative AI applications for business-to-business (B2B) environments.
- Strategic Prioritization: Ability to prioritize effectively, balance immediate delivery needs with long-term objectives, and connect day-to-day execution to broader business strategy.
- Data-Driven Decision-Making: Strong experience defining success metrics, evaluating product performance, and using data to guide product decisions and improvements.
- Enterprise SaaS Experience: Background in enterprise B2B software, ideally in legal technology, contract lifecycle management, enterprise resource planning (ERP), customer relationship management (CRM
- API and Platform Development: Experience collaborating with engineering teams to design, improve, or evolve APIs that support integrations, extensibility, and AI agent capabilities.
- Communication and Influence: Strong storytelling, written and verbal communication, and collaboration skills, with the ability to influence stakeholders across functional boundaries.
- Agentic AI Experience: Hands-on experience with agent frameworks, multi-agent collaboration, or orchestration platforms is preferred.
- Emerging AI Technologies: Familiarity with Model Context Protocol (MCP), agent tools, or comparable technologies is an advantage.
- Enterprise AI Product Development: Experience building and scaling generative AI or agent-based products for enterprise customers is preferred.
- No-Code Platforms: Experience with enterprise no-code platforms and extensibility strategies is beneficial.
- Travel Flexibility: Willingness to travel up to 10% for customer workshops, conferences, and research activities.
Full description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager – Agents and Intelligence based in the United States.
We are seeking an experienced product leader to shape the future of AI-powered enterprise software through intelligent agents and data-driven insights. In this remote role, you will lead the strategy, roadmap, and execution of agent-driven workflows within a sophisticated contract lifecycle management platform. You will identify opportunities to automate complex processes, improve user experiences, and unlock measurable business value throughout the contract lifecycle. Working closely with engineering, UX, legal knowledge engineering, and go-to-market teams, you will translate emerging AI capabilities into practical, scalable product solutions. You will also help define success metrics, improve API capabilities, and drive adoption of intelligent features across enterprise customers. This is an opportunity to combine strategic product leadership with hands-on execution in a rapidly evolving generative AI landscape.
Accountabilities:
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Product Strategy and Roadmap: Own the roadmap and execution of agent-driven solutions, ensuring product investments align with broader business objectives and deliver measurable customer and commercial impact.
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AI-Driven Innovation: Co-lead strategic initiatives that introduce AI-powered insights and optimizations across the product, identifying opportunities to improve efficiency and enhance customer value.
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Workflow Discovery: Identify high-impact use cases throughout the contract lifecycle where intelligent agents can automate tasks, support decisions, and improve operational outcomes.
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Product Expertise: Develop an in-depth understanding of platform capabilities and translate that knowledge into innovative, practical product opportunities.
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Success Metrics and Performance: Define, monitor, and optimize key performance indicators for agentic workflows, including adoption, customer satisfaction, and measurable return on investment.
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API and Technical Collaboration: Partner with engineering teams to evolve APIs and improve data accessibility, enabling reliable integration and effective operation of agent-driven solutions.
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User Experience and Design: Collaborate with UX and design teams to understand user needs and create intuitive, collaborative, and user-centered AI experiences.
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Backlog and Product Delivery: Prioritize the product backlog and develop clear user stories, acceptance criteria, and product specifications to guide engineering execution.