Sr. Delivery Manager
Range
| Company | Range |
| Category | Operations & Admin |
| Location | Toronto |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 17 Jun 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer career page (greenhouse) |
Description
At Range Group we believe in the power of the professional travel advisor. We represent over $4.5 billion in annual travel sales. All our investments stem from a common thesis, that travel advisors add real value to a trip. Travel advisors when equipped with technology and 24/7 support are irreplaceable. Equally important is our philanthropy. Range Foundation channels 10% of group profits to social impact. From exploration grants, improved access to education, new discoveries on sea and land, cultural infrastructure, and helping our global neighbors in times of need — we are investing to build a better future. This is a hybrid position with currently 2-days a week onsite from our office located at 2 Queen St. E in Toronto, ON.
The Role We are looking for a Senior Delivery Manager who drives change, coaches people, and holds the delivery standard across multiple teams simultaneously. You will go deep into what each team is actually doing, surface problems before they become incidents, and build the kind of delivery muscle that makes the whole organization more capable overtime. Coaching is central to this role. You will raise the delivery capability of the teams around you, identify where people need to grow, and model what good looks like in practice. TripArc is mid-SAFe adoption. Hands-on SAFe experience and PI Planning expertise are a strong asset. That said, we welcome exceptional candidates who bring deep delivery maturity and multi-team leadership experience and are ready to embrace the framework.
Who We Are TripArc develops AI-powered products on an AI-assisted delivery workflow. We expect our Senior 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. Candidates who have led delivery for AI-assisted engineering teams will stand out. Key Responsibilities Delivery Execution Across Multiple Pods
Facilitate all Scrum ceremonies across multiple parallel pods, including stand-ups, backlog refinement, sprint planning, sprint reviews, and retrospectives
Go deep into each team's delivery reality, understand what is being built, what is at risk, and what is being avoided
Own SAFe activities including PI Planning, coordinating across pods to align program increments, surface cross-team dependencies, and maintain delivery confidence at the portfolio level
Monitor sprint velocity, team capacity, and progress against goals; surface variance proactively and with specificity, not just through reports
Manage release plans in close collaboration with the Release Manager and Product Owners, maintaining accuracy across scope, release versions, and launch dates
Own and maintain risk and decision trackers; identify blockers and surface dependencies before they impede delivery
Coaching and Team Development
Coach team members and delivery practitioners: identify capability gaps, support their growth, and raise the standard of delivery practice across the organization
Coach teams and Product Owners on Scrum best practices, AI-native ways of working, and what good delivery hygiene looks like in practice
Drive retrospectives with genuine intent: diagnose root causes, assign action items, and follow up on whether anything actually changed
Identify where teams are operating as order-takers rather than owners and actively shift that dynamic
Model what good delivery management looks like at a level that raises the bar across the whole organization
Tooling and Reporting
Establish and enforce Jira ticket conformity across all teams: structured, consistent data is the raw material; the expectation is that you turn it into actionable insights, not just dashboards
Analyze delivery data from Jira, leveraging AI tools including Claude