Manager, Customer Support

Canada Full-Time CAD 110000–140000 / yearly Posted 1 day ago

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Location Canada

Job type Full-Time

Salary CAD 110000–140000 / yearly

Posted 18 Oct 2026 (1 day ago)

Region Canada

Category Technical Support

Source Jobicy

Work mode Remote

Our team is committed to enhancing physician and patient quality of life through Elation, a SaaS cloud-based clinical platform. Since inception, we've been focused on building a delightful, world-class experience that empowers physicians to deliver phenomenal care to patients.

We're looking for a Manager, Customer Support to lead a high-performing team of Support Specialists and Support Engineers. This isn't traditional support management—you'll treat support as a product, using data to diagnose friction, design experiments to improve resolution speed and quality, and continuously optimize the system that delivers customer outcomes.

You’ll be the operational leader for Elation’s support experience, owning team performance, development, and the daily execution of SLA commitments. You’ll partner closely with Engineering, Product, and Customer Operations to translate support insights into product improvements, and build the analytics infrastructure that makes support performance transparent and actionable.

If you think like a Product Manager, love operations, and want to build a technically oriented team that drives real impact, this is the role for you.

What You’ll Do Lead a High-Performing Team

Manage approximately 8–10 Support Specialists and Support Engineers, owning hiring, onboarding, development, performance management, and retention Conduct weekly 1:1s focused on skill development, case quality review, and career growth Coach your team to critically evaluate AI-generated recommendations and deliver exceptional customer outcomes—quality over speed Hold your team accountable to SLA commitments, including time-to-resolution, backlog targets, and customer satisfaction scores

Own Support Operations & Processes

Manage the daily execution of case triage, routing, and escalation workflows to ensure efficient resolution Monitor case queue health in real time and identify bottlenecks or quality issues before they impact customers Design and run experiments to improve case resolution speed, first-contact resolution rates, and customer satisfaction Build and maintain the Support playbook, including documentation, troubleshooting guides, and AI-assisted workflow standards Own the QA process for AI-assisted case resolution; audit quality regularly and coach to gaps

Drive Data-Driven Insights

Treat metrics as your product: build dashboards, define KPIs, and make support performance visible and actionable Run weekly case reviews with your team to identify patterns, high-volume issue types, and systemic product gaps Translate case data into prioritized feedback for Product and Engineering teams Own monthly reporting on team performance, SLA trends, top case drivers, and escalation patterns Use data to forecast capacity needs, identify skill gaps, and recommend training investments

Partner Cross-Functionally

Work closely with Engineering Managers to keep support context present in product decisions Collaborate with Customer Operations on service standards and cross‑functional initiatives Surface urgent product issues and provide context for prioritization decisions Build feedback loops to ensure case‑driving issues get resolved upstream Proactively identify inefficiencies in support workflows, tooling, or documentation and drive improvements Recommend and implement automation that increases team leverage (e.g., AI response quality, case routing logic, knowledge base search)

What Success Looks Like First 90 Days

Build trust with your team through 1:1s, understanding strengths and challenges, and establishing clear expectations Master the case data: know the top case drivers, current SLA performance, and team capacity model Establish effective partnerships with Engineering Managers Identify and fix 1–2 quick‑win process inefficiencies

First Year

SLA performance: Your team consistently meets time‑to‑resolution targets and keeps backlog under control Case quality: AI‑assisted case resolution accuracy at 95%+; zero critical escalations due to poor case handling Team development: At least one team member promoted or developing toward the next level; retention at 90%+ Product impact: Your case data analysis drives 3+ roadmap prioritization decisions that reduce case volume Operational leverage: You’ve built analytics dashboards, improved documentation, and implemented at least one automation that increases team impact by 10%+

What We’re Looking For Required Experience

5+ years in technical support, customer success operations, or technical account management, w