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Overview: We are looking for a Product Manager to support the build, rollout, adoption, and continuous improvement of AI-powered products used across Guidepoint’s expert-network operations. This role sits at the intersection of product management, product operations, workflow automation, AI adoption, and internal tools. The ideal candidate is a hands-on problem solver who can work closely with users, engineering, QA, design, operations, and leadership to turn high-friction workflows into reliable, scalable product systems. The Product Manager will support a portfolio of mature and emerging initiatives by writing clear requirements, managing user feedback, looking at adoption, usage data & analytics, triaging issues, supporting UAT and helping teams make data-driven product improvements. This role is especially important as Guidepoint expands its use of AI, automation, and human-in-the-loop workflows across complex operational processes. What You’ll Do: Product Delivery & Execution • Partner with engineering, QA, UX, and business stakeholders to support timely and high-quality delivery of product improvements. • Participate in sprint planning, backlog refinement, UAT, release readiness, and post-release review. • Help ensure features are tested against real user workflows, edge cases, business rules, and operational expectations. • Support rollout planning, user onboarding, training, and adoption follow-ups for new and existing product capabilities. Product Operations & Workflow Support • Act as a day-to-day product contact for users • Triage bug reports, user questions, change requests, and product feedback. • Translate recurring themes into clear product requirements, tickets, acceptance criteria, and follow-up actions. • Maintain strong product hygiene across Jira, Confluence, release notes, user documentation, and training materials. AI Workflows & Tools • Work with product and engineering teams to ensure AI-driven features are usable, measurable, and aligned with real business workflows. • Help identify where automation is working well, where users are intervening, and where product improvements are needed. Metrics, Adoption & Continuous Improvement • Track product adoption, usage, user friction, defects, release outcomes, and operational impact. • Build and maintain lightweight dashboards, recurring reports, and product health

Product Manager – AI Product Engineering

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