Senior Product Manager – Agents and Intelligence.

Accountabilities:

• 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.

• 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.

• Workflow Discovery: Identify high-impact use cases throughout the contract lifecycle where intelligent agents can automate tasks, support decisions, and improve operational outcomes.

• Product Expertise: Develop an in-depth understanding of platform capabilities and translate that knowledge into innovative, practical product opportunities.

• Success Metrics and Performance: Define, monitor, and optimize key performance indicators for agentic workflows, including adoption, customer satisfaction, and measurable return on investment.

• 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.

• User Experience and Design: Collaborate with UX and design teams to understand user needs and create intuitive, collaborative, and user-centered AI experiences.

• Backlog and Product Delivery: Prioritize the product backlog and develop clear user stories, acceptance criteria, and product specifications to guide engineering execution.

• Market and Competitive Intelligence: Stay current on contract lifecycle management, generative AI, agent frameworks, and competitive product developments to inform strategy and maintain product relevance.

• Cross-Functional Alignment: Partner with product marketing, sales enablement, customer success, and other stakeholders to support product launches, adoption, and market positioning.

• Product Evangelism: Communicate the value and capabilities of intelligent agent solutions to internal stakeholders, customers, and external audiences.

• Roadmap Collaboration: Work with fellow product leaders to shape and deliver future innovations in agent-enabled contract lifecycle management.

Requirements:

• 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), or business process management (BPM).

• 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.

Benefits:

• Remote Work: Full-time remote position within the United States.

• Work-Life Balance: A culture that supports healthy boundaries, including floating holidays and a quarterly wellness day that can be taken without providing a reason.

• Employee Resource Groups: Opportunities to participate in employee resource groups and contribute to an inclusive workplace.

• Inclusive Culture: An environment that values diverse backgrounds, perspectives, and authentic self-expression.

• Professional Impact: The opportunity to shape AI-driven enterprise products in the evolving contract lifecycle management market and collaborate with multidisciplinary teams.

• Compensation and Additional Benefits: Salary, healthcare coverage, retirement plans, and other specific benefits are not detailed in the provided job description.