AI Product Manager

Summary

Join Instructure as a Product Manager to lead the development of the Education AI Agent, a key initiative powering intelligent support for educators. You will define quality and effectiveness for AI agents in education, working cross-functionally to deliver workflows supporting real classroom needs. This role requires strong LLM-based chatbot experience, a growth mindset, and a passion for using AI to drive meaningful impact in teaching and learning. You will own the vision, roadmap, and delivery of the Education Agent, ensuring high standards of reliability, accuracy, and usefulness. You'll collaborate with AI engineers, QA, design, and other PMs to launch and improve agent capabilities. This is a strategic AI initiative at the intersection of innovation, responsibility, and scale, directly supporting better learning experiences and educational outcomes.

Requirements

• 2+ years of product management experience with LLM-based chatbots or AI agents,preferably in domains with high user trust requirements (e.g., education, healthcare, hospitality)
• A track record of defining measurable success criteria for AI-powered features and applying evaluation methods to improve AI quality and user experience
• A growth mindset and systems-thinking approach to driving automation, experimentation, and process innovation to user workflows and internal product development processes
• Strong collaboration skills—capable of driving alignment with both internal and external stakeholders through scaling documentation across functions
• Ability to navigate ambiguity and bring structure to complex, fast-evolving product spaces. Enjoy turning vision into structure, metrics, and delivery milestones

Responsibilities

• Own the vision, roadmap, and delivery of Instructure’s Education Agent, ensuring it meets high standards of reliability, accuracy, and usefulness for educators
• Define success metrics and quality frameworks for AI agent performance
• Monitor and evaluate agent effectiveness at scale using lightweight dashboards and AI workflows that provide internal visibility into usage, outcomes, and areas for improvement
• Collaborate cross-functionally with AI engineers, QA, design, and other PMs to launch and continuously improve agent capabilities
• Support internal readiness and rollout efforts—including Early Access Programs (EAPs)—by tracking usage, synthesizing feedback, and identifying readiness signals
• Ensure ethical, auditable, and safe AI design by establishing monitoring practices that surface risks and biases as the agent scales
• Pilot internal workflows and feedback loops to accelerate experimentation and reduce the time to validate AI workflows in the agent

Benefits

• Competitive compensation and participation in Instructure’s equity program
• Flexible schedules and a remote-friendly culture, with hybrid or onsite work based on business needs
• Generous paid time off, including global holidays and our annual “Dim the Lights” company-wide shutdown from December 26 to December 31
• Comprehensive wellness programs and mental health support
• Annual learning and development stipends to support your growth
• We provide the technology and tools you need to do your best work—typically a Mac, with PC options available in some locations
• A culture rooted in inclusivity, support, and meaningful connection