Job Description
Ben Fatto looking for a delivery leadership , AI-augmented workflow orchestration , and team development . The Kanban / Agentic AI Task Master is accountable for managing the end-to-end flow of engineering work—from intake to delivery—while leveraging agentic AI tooling to increase throughput, reduce friction, and surface blockers before they turn into delays. Responsabilities Own and continuously optimize the Kanban system across workstreams: backlog health, WIP limits, queue management, cycle time, and throughput . Proactively identify and remove blockers; escalate impediments with urgency and drive resolution. Maintain a healthy, prioritized backlog in partnership with Product and key stakeholders. Drive on-time delivery against committed dates with zero tolerance for silent slippage . Define and enforce Definition of Ready (DoR) and Definition of Done (DoD) standards. Ensure consistent team usage of agentic AI workflows that automate task tracking, status updates, sprint hygiene, and reporting . Leverage agentic tooling to manage and communicate the Azure DevOps (ADO) backlog and delivery schedule to internal and external stakeholders. Identify high-friction manual processes and build agent-driven solutions to replace them. Deliver measurable automation outcomes (e.g., reduced time spent on reporting and follow-ups). Hold the team accountable to delivery commitments— dates set by the team are firm . Manage individual performance through clear objectives, regular 1:1s , and ongoing feedback cycles. Partner with Engineering leadership on headcount planning, hiring, and team structure . Remove organizational obstacles that negatively impact team velocity and quality. Own team-level OKRs and report progress transparently to leadership. Facilitate daily standups, planning sessions, and retrospectives with active engagement—ensuring each team member leaves with next steps, expected outcomes, and blockers clearly stated (not passive status reporting). Coach team member
