Position Summary

We are seeking a mid-level Technical Delivery Manager to run the day-to-day support delivery rhythm through a disciplined Kanban process. This role keeps work visible, triaged, assigned, unblocked, and moving across technical support, platform, product, and engineering teams.

The ideal candidate is organized, technically fluent, and comfortable operating in a fast-moving environment. They do not need to be the deepest technical expert, but they must understand enough to follow engineering discussions, clarify issues, track dependencies, and escalate risks. The role also supports AI-enabled delivery practices, including automation and agentic AI development workflows.

Key Responsibilities

Kanban Flow Management

• Own daily Kanban board health for support and delivery operations.
• Maintain visibility into intake, backlog, active work, blockers, aging items, dependencies, and completed work.
• Ensure tickets have clear owners, current status, priority, next step, and target timing where applicable.
• Monitor work-in-progress and help surface bottlenecks before they become delivery risks.
• Keep tools such as ZenHub, Jira, GitHub Projects, or similar platforms current and useful.

Support Operations Coordination

• Coordinate routine technical support work across platform, product, engineering, and support stakeholders.
• Help capture, triage, categorize, and route incoming support requests.
• Track follow-through on incidents, support issues, operational tasks, and handoffs.
• Partner with technical leads to clarify scope, sequencing, dependencies, and blockers.
• Identify lightweight process improvements that improve flow, accountability, and response consistency.

Team Cadence & Reporting

• Facilitate standups, Kanban reviews, backlog refinement, weekly planning, and status checkpoints.
• Keep meetings focused, action-oriented, and tied to current delivery priorities.
• Capture decisions, next steps, owners, and due dates for asynchronous follow-through.
• Prepare weekly updates on progress, priorities, blockers, backlog health, risks, and support needs.
• Escalate unresolved blockers and high-priority risks with enough context for leadership action.

Technical & AI Delivery Context

• Follow technical discussions and ask clarifying questions when scope, priority, or ownership is unclear.
• Support workflows connected to automation, AI-assisted support, and agentic AI development practices.
• Use delivery data and board hygiene to improve leadership visibility and team decision-making.

Qualifications

Professional Experience

• 4 to 7 years of experience in technical delivery management, project management, agile operations, support operations, or delivery coordination.
• Experience supporting software, platform, product, developer-facing, or technical support teams.
• Hands-on experience maintaining Kanban or Agile workflows and driving task follow-through.
• Experience preparing meeting notes, action logs, delivery updates, and status reports.

Skills & Competencies

• Strong organization, attention to detail, and follow-through.
• Working knowledge of Kanban flow, backlog management, WIP tracking, blocker management, and continuous improvement.