Technical Product Manager, App-Layer AI - Hybrid (Charlotte)

Technical Product Manager, App-Layer AI – Hybrid (Charlotte) Location: Charlotte, NC Workplace Type: Hybrid Position Type: Permanent Sector: Technology Skills Product Management AI Product Management Agentic Workflows Human-in-the-Loop AI Governance Product Adoption UX Collaboration Telemetry and Analytics Beta Program Management GRC Domain Job Description Technical Product Manager Location: Hybrid, Charlotte, NC | Type: Full Time, Exempt | Experience: 5+ years About the Role We're hiring a Technical Product Manager to own how AI shows up inside the product, specifically the AI-powered and agent-assisted experiences embedded directly in user workflows. Success here is measured by adoption and workflow impact, not feature count. You'll be the person making sure AI lands meaningfully where people actually work. Our client is an established governance, risk, and compliance software company whose tools help large organizations operate ethically and keep their people safe. In this role, you'll translate real compliance and risk workflows into AI-assisted experiences that stay advisory, explainable, and firmly under human control, while still moving fast enough to matter. What You'll Do Define and execute the roadmap for AI-powered experiences across the product applications Turn shared platform AI capabilities into persona-specific workflow value, within governance standards and expansion gates Identify high-impact opportunities and set measurable success criteria, including adoption, workflow acceleration, and quality outcomes Define expansion-readiness thresholds for scaling AI capabilities across products and tenants Partner with platform product management to turn workflow needs into reusable capabilities Translate platform primitives into structured user stories, acceptance criteria, and UX requirements, keeping AI experiences advisory and within human authority boundaries Use telemetry and user feedback to refine experiences and improve trust, usability, and effectiveness Collaborate with UX, engineering, and application teams to align AI delivery with the broader application roadmap Qualifications 5+ years of product management experience, including AI-enabled, analytics, or data-driven products Demonstrated success driving adoption through controlled rollouts and beta programs Ability to define persona workflows and measurable ROI for intelligent or automation-assisted features Literacy in multi-step agentic workflows, tool-using systems, and human-in-the-loop interaction patterns Working knowledge of AI governance principles, enough to ensure workflow-level compliance and appropriate human oversight Experience translating AI capabilities into structured user stories and acceptance criteria Strong cross-functional collaboration across engineering, design, data science, and domain experts Excellent stakeholder communication, including managing expectations in evolving AI contexts #J-18808-Ljbffr Elios AI