triparc

Delivery Manager

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At a Glance

Location
Toronto, Ontario, Canada
Work Regime
hybrid
Experience
5+ years
Compensation
n range for this position is: $110,000 to $115,000. The actual compensation may
Posted
2026-03-30T12:33:34-04:00

Key Requirements

Required Skills

GitJiraScrum

Requirements

5+ years of experience as a Scrum Master or Delivery Manager, with demonstrated success leading multiple concurrent teams

Advanced proficiency in JIRA and Git — you extract meaningful signals from delivery data and know how to translate them into actions your teams and stakeholders can act on

Proven capacity to manage cross-team dependencies and communicate risk escalations without generating unnecessary noise

Responsibilities

Three pods — Itineraries on ADX, QT Styler, and Product Builder — are delivering in parallel against a platform that thousands of travel advisors depend on every day.

The Delivery Manager is the operational backbone of this initiative — and at a build of this scale and strategic importance, that function carries genuine weight.

Delivery Execution Across Three Pods

Own SAFe Agile activities including PI Planning — coordinating across pods to align program increments, surface cross-team dependencies, and maintain delivery confidence at the portfolio level

Manage release plans in deep collaboration with the Release Manager and Product Owners — maintaining accuracy across scope, release numbers, and launch dates

Own and maintain risk and decision trackers; identify blockers and surface dependencies before they impede delivery

About the Company

TripArc develops AI-powered products on an AI-assisted delivery workflow, and we expect our Delivery Manager to be a genuine advocate for both. That means understanding how tools like Claude and similar AI assistants change the velocity and quality dynamics of a development team — and knowing what effective quality gates, review practices, and coaching look like in that context. Familiarity with Claude is expected. Candidates who have led delivery for AI-assisted engineering teams and built operational frameworks around that experience will stand out.