客户支持经理
Manager, Customer Support
我们团队致力于通过Elation这一基于云的SaaS临床平台,提升医生和患者的幸福感。自成立以来,我们专注于打造卓越的用户体验,使医生能够为患者提供出色的医疗服务。
我们正在寻找一名客户支持经理,领导一支高绩效的支持专家和支持工程师团队。这不是传统的支持管理——您将把支持视为一个产品,利用数据诊断痛点,设计实验以提高解决速度和质量,并持续优化为客户带来成果的系统。
您将是Elation支持体验的运营负责人,负责团队绩效、发展以及SLA承诺的日常执行。您将与工程、产品和客户运营紧密合作,将支持洞察转化为产品改进,并建立使支持表现透明且可操作的分析基础设施。
如果您具备产品经理思维,热爱运营,并希望打造一支技术导向的团队,产生真正的影响力,那么这个职位适合您。
您将负责的工作
领导高绩效团队
- 管理约8-10名支持专家和支持工程师,负责招聘、入职、发展、绩效管理和留任
- 每周进行1对1沟通,关注技能发展、案例质量审查和职业成长
- 指导您的团队对AI生成的建议进行批判性评估,并交付卓越的客户成果——质量优先于速度
- 对团队在SLA承诺上的执行负责,包括解决时间、积压目标和客户满意度评分
负责支持运营与流程
- 管理案例分类、路由和升级流程的日常执行,确保高效解决
- 实时监控案例队列健康状况,提前发现瓶颈或质量问题,避免影响客户
- 设计并运行实验,以提高案例解决速度、首次接触解决率和客户满意度
- 构建并维护支持手册,包括文档、故障排除指南和AI辅助工作流程标准
- 负责AI辅助案例解决的QA流程;定期审核质量并指导差距
推动数据驱动的洞察
- 将指标视为您的产品:构建仪表盘,定义KPI,并使支持表现可见且可操作
- 每周进行案例回顾
查看英文原文
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
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%+
What We're Looking For
Required Experience
- 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
Skills & Attributes
- 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
Nice to Have
- 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
Salary range: $110,000-140,000 CAD
Elation welcomes individuals from all backgrounds and walks of life. Elation is proud to be an Equal Opportunity Employer and is dedicated to creating and maintaining a diverse and inclusive work environment.
We are committed to equal opportunity for all employees and applicants, and value individuals with diverse perspectives including, but not limited to: race, color, religion, sex, sexual orientation, socioeconomic status, age, gender identity or gender expression, national origin, disability or veteran status.
Elation also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. We firmly believe a strong culture that supports a diverse and inclusive workforce allows us to achieve Elation’s mission of helping independent primary care thrive.