Product Owner

About the role

Atlanta-based Incident IQ is the leading workflow management platform built exclusively for K-12 districts. Trusted by over 2,000 districts, Incident IQ powers mission-critical services for more than 12 million students and educators nationwide. By connecting technology and operational workflows, Incident IQ enables schools to streamline processes, reduce administrative burdens, and focus on what matters most: supporting students. Purpose: Incident IQ is committed to creating a future where every K-12 district operates with seamless efficiency. When operations are unified on a single platform, districts gain the clarity and control needed to build a stronger foundation for student success. We're focused on delivering the tools, support, and partnerships that help make that vision a reality. Mission: Incident IQ is on a mission to eliminate the friction of disconnected systems and clunky workflows that slow schools down. We're reimagining the critical work that happens behind the scenes, bringing visibility, efficiency, and impact to the processes that keep classrooms running. By streamlining the complex, automating the routine, and surfacing the insights that matter most, we can create the conditions for educators to teach, students to thrive, and districts to shape the future of education. Product Owner Overview: At Incident IQ, we are reinventing how software gets built. In our Full Stack Agentic Development (FSAD) model, engineering capacity is no longer the bottleneck, context is. The Product Owner is the person who eliminates that bottleneck. This role is less about managing a backlog and more about becoming the deepest source of customer understanding on the team, translating real K-12 pain points into the structured context that AI agents and developers need to build the right thing, fast. This means spending less time in traditional Agile ceremonies and more time inside the build cycle, co-creating in real time alongside developers and AI agents, validating output as it is generated, and ensuring the team never loses the "why" behind what they are building. The right candidate brings deep empathy for K-12 customers, the precision to encode that understanding into markdown-based Vision Canvases, and the drive to prove that Human + AI + Dev produces more than the sum of their parts. The Mindset We're Looking For: Technical background matters less than attitude. We are looking for someone who: Sees AI as a collaborator, not just a tool, and is excited to plan and work inside AI environments alongside their team. Is energized by building new processes, not just following established ones. Can execute with discipline in the present while imagining and influencing a better future model. Communicates with precision, knowing that clear inputs to AI systems are as important as clear requirements to engineers. Thrives in a fast-moving, iterative environment where today's best practice may be replaced by something better next quarter. Product Owner Responsibilities: Develop deep, firsthand empathy for K-12 customer workflows, becoming the team's ultimate source of truth on what users need, why they need it, and what "winning" looks like for them. Transform customer pain points into high-fidelity Vision Canvases, structured markdown documents that provide the shared context AI agents and developers need to build the right thing without rework or misinterpretation. Be present and active inside the build cycle, participating in real-time alongside developers and AI agents, validating code and UI/UX as it is generated rather than reviewing it days later in a handoff. Participate in lightweight team cadences focused on outcomes and unblocking, not ceremony. Agile rituals serve the work; the work does not serve the rituals. Design for the customer, not for the process, collaborating with designers and engineers to ensure every UX decision is grounded in real user workflows and validated quickly, not debated in planning docs. Work closely with Customer Success to identify, triage, and resolve key product issues. Support go-to-market initiatives and product launches with internal enablement and external communication. Own and continuously sharpen the team's shared context, ensuring every member of the pod, human and AI, understands the "why" behind every feature well enough to make good decisions independently. Map new features and configure dashboards in Incident IQ's third-party Product Usage Analytics Tool. Serve as a product ambassador internally and externally, sharing knowledge, answering questions, and building trust. Participate in collaborative AI-driven planning sessions where shared context is established before development begins, ensuring the whole team is aligned inside the same AI environment. Author, iterate, and refine structured markdown files that define agent tasks, acceptance criteria, and workflow logic, functioning as the programming language

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