Product Manager

We are seeking a highly experienced and motivated Product Manager, AI Solutions to join our AI Solutions team within Operations & Technology. In this role, you will work on enterprise products and agents utilizing Generative AI to create impactful solutions. This role will involve product management, cross-functional collaboration, strategic planning, hands-on execution, and leadership, ensuring that our products meet both organizational goals and stakeholder needs. Key Responsibilities Agentic Agent Analytics and Operations Define and deliver analytics that measure performance, engagement, task completion, quality, reliability, and business impact across internal corporate and DTC agents in a complex, constantly changing ecosystem. Translate stakeholder needs into analytics requirements, success metrics, user stories, and instrumentation plans with Product, Engineering, Data, Program Management, Scrum, and leadership teams. Establish measurement frameworks for agentic workflows across corporate and consumer-facing use cases, including adoption, escalations, accuracy, and operational efficiency. Validate tracking implementation and data quality through testing, dashboard reviews, metric reconciliation, and stakeholder demos. Support agent operations by monitoring trends, identifying optimizations, and coordinating analytics-driven issue investigation and follow-up across internal and DTC environments. Own analytics products and reporting experiences, refining insights, dashboards, and measurement approaches based on stakeholder feedback and usage patterns. Product Analytics Strategy & Stakeholder Engagement: Drive the product analytics roadmap, aligning measurement priorities with product strategy, enterprise AI objectives, customer insights, and long-range business goals. Collaborate with stakeholders, vendors, and analytics partners across the GenAI and agentic AI lifecycle, from discovery and instrumentation through launch, optimization, and executive reporting. Prepare dashboards, reports, metric narratives, recommendations, and executive-ready insights on product performance, agent effectiveness, opportunities, and risks. Product Insights & Innovation: Stay current on AI, LLM, analytics, experimentation, observability, and measurement technologies that improve agent and product insight capabilities. A builder's mindset — you actively use AI tools to prototype, accelerate, and ship rather than just specify and delegate. Hands-on experience building or prototyping AI agents and agentic workflows. Develop reusable analytics patterns, measurement standards, and reporting templates that scale across GenAI and agentic AI implementations. Identify opportunities to improve product experiences, optimize agent workflows, strengthen operations, and drive measurable outcomes through data-informed decisions. Partner with data, engineering, and governance teams to support trustworthy analytics practices across data quality, privacy, compliance, and ethical AI measurement.