• Own and evolve the product vision, strategy, and roadmap for AI-powered contract intelligence and obligations management. • Drive measurable adoption, engagement, and value realization across AI solutions. • Define, monitor, and act on product success metrics and usage data. • Lead cross-functional execution with Engineering, UX, Product Marketing, Sales, and Customer Success. • Develop and execute deprecation and sunset strategies for legacy capabilities. • Identify and prioritize high-impact AI opportunities across the contract lifecycle. • Ensure AI solutions are trustworthy, explainable, and aligned with enterprise customer needs. • Represent AI solutions in executive discussions and strategic planning. • Mentor and guide other product managers and contribute to product best practices. • Act as a thought leader and evangelist for Agiloft’s AI strategy internally and externally. • Other duties as assigned

• Own and prioritize the roadmap for your product (a digital experience in provider offices/DOOH, driven by passive and/or interactive content and tools). • Be the expert for a product space. Stay informed of industry trends, emerging technologies, and best practices. • Measure Outcomes, Not Output. Define success using meaningful KPIs tied to customer behavior and business value. • Drive structured product discovery. Leverage your deep experience/toolkit of discovery tactics, and your partners in design and engineering, to test, validate and de-risk ideas. • Define and monitor success metrics for your projects and the outcomes that your roadmap delivers. • Prioritize and effectively manage expectations. • Champion Cross-Functional Collaboration. Work fluidly with stakeholders across Product Marketing, Content, Data, Sales, Legal, and Customer Success. • Elevate the Voice of the Customer. Serve as the conduit between the customer and the business. • Mentor junior team members.

• Own product initiatives end-to-end, from discovery and definition through delivery and iteration. • Gather and prioritize customer, dealer, and internal stakeholder requirements to inform product strategy and roadmap decisions. • Translate business needs into clear product requirements and specifications (PRDs), including user flows and success metrics. • Partner closely with engineering to scope, prioritize, and deliver high-quality solutions. • Drive data-informed decision making by defining KPIs, analyzing performance, and iterating based on results. • Collaborate with cross-functional teams including Sales, Customer Success, Analytics, and Marketing. • Engage with external partners and third parties as needed to support integrations or joint initiatives. • Balance speed, quality, and scope while making thoughtful trade-off decisions.

• Define and execute product initiatives for agentic AI systems, with a focus on measurable customer and business outcomes • Own significant parts of the agentic system lifecycle, including orchestration, decisioning, evaluation, and iteration • Contribute to building a repeatable framework for launching, evaluating, and improving agentic capabilities across customers • Help define how agentic systems are measured and improved in production, balancing autonomy with safety and reliability • Partner closely with Engineering, Applied AI/ML, Design, and Solutions teams to ship production-ready systems • Work directly with customers to understand workflows, requirements, and success criteria • Drive customer-informed prioritization by staying close to live deployments and real usage patterns • Support best practices for agent evaluation, iteration, and safe rollout • Represent the product in customer conversations, demos, and feedback sessions