E
Elation Health
Manager of Customer Support
Skills
Product ManagementTesting & QAData AnalysisAINotionSalesforceProduct ManagerPerformance ManagementCustomer Support
2 months ago
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Important information
Salary:
CA$110,000 – CA$140,000 / year
Location:
Canada
Work mode:
Remote
Published on:
1 September 2026
What they need
Who you are
- 5+ years in technical support, customer success operations, or technical account management, with at least 2 years managing people
- Proven track record managing to SLAs in a technical support or customer operations environment
- Experience with technical products (SaaS, B2B software, healthcare tech preferred) where support requires genuine technical troubleshooting, not just scripted responses
- Data fluency: You've built dashboards, analyzed trends, and used metrics to drive operational improvements—not just reported them
- Systems thinker: You see support as a process to optimize, not just a queue to clear; you've redesigned workflows or implemented tooling that improved efficiency
- Product management mindset: You understand root cause analysis and think about preventing issues upstream rather than just resolving them faster
- Technical credibility: You can learn product architecture, understand complex workflows, and coach support engineers on technical cases
- Coaching-oriented: You develop people through feedback, skill-building, and stretch opportunities—not just task assignment
- High standards with empathy: You hold your team accountable while supporting their growth
- Cross-functional collaboration: You've worked effectively with Engineering, Product, or Customer Success teams where success required partnership
- Comfortable with ambiguity: You're excited to build operations for a new support model without a perfect playbook on day one
- Experience in healthcare, health tech, or regulated industries
- Exposure to AI-assisted support workflows or LLM-based tooling
- Prior experience as a technical support engineer or individual contributor before moving into management
- Familiarity with Notion, Linear, Salesforce, Intercom, or similar support/case management platforms
What the job involves
- 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
- 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
- Improve Systems Continuously
- 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%+
Benefits
- Benefits Plan: We offer medical,dental, and vision insurance, as well as Flexible Spending Accounts and life insurance
- Pay and Equity: We offer a meaningful salary and equity package to each member of our team
- Flexible Time-Off: We believe that you should be trusted and empowered to take time off when you need it
- Home Office + Tech Stipend: We offer a home office stipend to help make work from home life a bit easier
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