Documenting the transition into one of the most important emerging roles in enterprise AI.
Follow on LinkedIn Get in touchAn AI Agent Manager is the person responsible for making AI agents actually deliver business results. They define tasks for AI agents, set performance standards, review outputs, handle failures, design human-AI handoffs, and report ROI to leadership.
It's not a coding role. It's a delivery role. And according to HBR, the best people for it come from project management, operations, and customer success.
The bottleneck in enterprise AI right now isn't the technology. It's the people who know how to manage it.
Source: Harvard Business Review — "To Thrive in the AI Era, Companies Need Agent Managers", February 2026
PMP-certified Project and Product Manager with 17 years of experience delivering complex products across SaaS, Telco, and IoT industries.
I've managed cross-functional teams, owned products end-to-end, run enterprise accounts, and communicated with C-level stakeholders about what's working and what isn't.
When I read the HBR article on AI Agent Managers, one thing was clear — the skills this role demands are the skills I've spent 17 years building. Managing teams, defining performance standards, owning outcomes, handling failures, reporting results to leadership.
Now the team includes AI agents. I'm here to learn how to manage them — and to document every step publicly.
If you're hiring for AI Agent Manager or agentic AI delivery roles — or if you're on the same transition path and want to compare notes — I'd like to hear from you.