Senior Engineering Manager
Fulfillment IQ
| Company | Fulfillment IQ |
| Category | Engineering |
| Location | Toronto |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 25 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (workable) |
Description
Description General Information: Job Title: Senior Engineering Manager Location: Toronto, ON (Onsite/Hybrid) Job Type: Full-Time Reporting Line: Senior Vice President, Architecture Hiring Timeline: Immediate Existing Vacancy: Yes Application Deadline: Open until Filled Salary Range: CAD 150K – 170K CAD per year (negotiable) About Fulfillment IQ (FIQ): Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations. We work at the intersection of strategy, operations, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution. Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk. If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves, this is the place where your skills and judgment truly come to life. Role Overview: Fulfillment IQ is looking for a dynamic Senior Engineering Manager with 8+ years of software engineering experience, including at least 4 years in engineering leadership, people management, or technical delivery leadership. The Senior Engineering Manager will be responsible for leading high-performing engineering teams in Fulfillment IQ’s AI-assisted, squad-based delivery model. This role combines people leadership, technical execution, customer-facing delivery ownership, architecture contribution, and hands-on engineering across full-stack development, cloud infrastructure, databases, DevOps, and automation-first quality practices. This role is critical to Fulfillment IQ’s next-generation delivery model: builder-led, AI-assisted, architecture-driven, automation-first, and client-outcome focused. The Senior Engineering Manager will lead cross-functional engineering teams across backend, frontend, cloud, DevOps, QA automation, and solution delivery while actively contributing to architecture, design, coding, troubleshooting, customer escalations, and engineering governance. The ideal candidate is not only a people manager, but also a hands-on engineering leader who can operate across C#.NET, Angular, React, Python, SQL Server, PostgreSQL, MongoDB, Azure Infrastructure, Google Cloud Platform, Azure DevOps Pipelines, and modern software delivery practices. Key Responsibilities: Engineering Leadership & People Management: Lead, mentor, and develop engineering teams across backend, frontend, integration, database, cloud, DevOps, and automation domains. Own people management responsibilities, including performance feedback, coaching, career development, capacity planning, and team engagement. Build a high-accountability engineering culture focused on ownership, quality, collaboration, and continuous improvement. Partner with Technical Leads to ensure engineers receive strong technical direction, mentorship, and architectural guidance. Support hiring, onboarding, skill development, and succession planning across engineering roles. Identify skill gaps and build upskilling plans for AI-assisted engineering, cloud, DevOps, automation, and architecture practices. Promote a builder-led culture where engineers are close to customer problems and accountable for solution outcomes. AI-Assisted Engineering Delivery: Champion AI-assisted engineering practices across software development, testing, documentation, prototyping, debugging, code review, and delivery execution. Establish responsible usage expectations for AI coding assistants and engineering accelerators, ensuring outputs are
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