Customer Experience Engineer

Remote from
Canada
Salary, yearly, CAD
70,000 - 95,000
Employment type
Full Time,
Job posted
Apply before
26 Aug 2026
Views / Applies
32 / 2

About Elation Health

Elation Health delivers innovative technology solutions that empower primary care clinicians to deliver exceptional care to their patients.

Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Elation is seeking a Customer Experience Engineer to blend customer support with engineering, leveraging AI to reduce repetitive cases. The role involves configuring AI within the platform, building automations, and synthesizing customer insights to influence product roadmaps. Ideal candidates have 1-5 years of experience in engineering, data analytics, or AI tinkering, with strong problem-solving skills and customer empathy. Success is measured by reducing case volume, improving AI quality, and mentoring team members. This is a unique opportunity to shape the future of customer support at a SaaS health-tech company.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight This role requires a blend of technical skills (SQL, Python, AI configuration) and soft skills (customer empathy, communication) to handle complex escalations and drive product improvements. The expectation to reduce case volume and mentor others adds to its difficulty.

Salary Analysis

Median Highly Competitive
CAD82,500
CA Market
CAD70k – 95k
0 CAD105k
AI Insight The offered salary range of $70,000-$95,000 CAD is aligned with the market for a mid-level Customer Experience Engineer in Canada. The median of $82,500 is competitive, especially considering the technical and AI-focused nature of the role. Potential for growth as the role evolves with AI adoption.

I am excited to apply for the Customer Experience Engineer position at Elation. With a background in software engineering and a passion for solving customer problems, I am drawn to Elation's vision of using AI to transform support. I have experience automating workflows and scripting in Python and SQL, which I believe will allow me to quickly contribute to reducing case volume and improving AI quality.

In my previous role, I built an internal tool that automated ticket triage, reducing response time by 30%. I also enjoy collaborating with product teams to turn customer feedback into actionable insights. I am eager to bring my technical skills and customer empathy to Elation's mission of enhancing physician and patient quality of life.

Thank you for considering my application. I look forward to the possibility of discussing how I can contribute to your team.

Describe a time you automated a repetitive task. What was the impact?
At my previous job, I noticed that our support team spent 10 hours per week manually closing duplicate tickets. I wrote a Python script that identified duplicates based on keywords and automatically closed them with a pre-written response. This reduced resolution time by 20% and freed up the team for more complex issues.
How would you handle a customer escalation where the AI failed to resolve the issue?
First, I would listen empathically to the customer to understand their frustration and ensure they feel heard. Then, I would investigate the underlying cause—whether it's a configuration gap in the AI, a bug in the product, or a unique scenario. I'd provide an immediate workaround if possible, and then work with engineering to fix the root cause permanently. I'd also update the AI's knowledge base to prevent recurrence.
What experience do you have with SQL and scripting? Can you give an example?
I have used SQL daily for data analysis and reporting. For instance, I created a dashboard in Looker that tracked case volume trends and identified the top recurring issues. I also wrote a Python script to automate the generation of weekly reports, which saved the team 5 hours per week.
How would you mentor an associate team member on AI workflows?
I would start by explaining the fundamentals of how our AI handles intents and escalations, then walk through real cases together. I'd encourage them to experiment with configuring AI within a sandbox environment, and provide regular feedback on their builds. I'd also share patterns I've identified for improving AI accuracy, and set up pair problem-solving sessions.
Describe a time you turned customer insights into product improvements.
While working in support, I noticed several customers struggled with the onboarding flow. I compiled data on common pain points and presented a report to the product team. They redesigned the flow, which led to a 15% increase in successful onboarding and a 25% reduction in related support tickets.

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.

Customer support has been the same job for twenty years: a queue, a ticket, an SLA, a closed case. That’s ending, fast. Over the next 6–9 months, AI will take on more of the routine, repetitive cases at Elation. That doesn’t shrink the human role — it builds on it. The work becomes product intelligence: shaping how AI handles conversations, holding the customer-trust moments that need real judgment, and turning patterns into priorities Engineering delivers.

We’re hiring Support Engineers to anchor that shift: people who don’t just close tickets, but trace them back to the line of product code causing them, ship the fix that resolves the customer’s problem immediately, and partner with senior engineers on the cases complex enough to need them.

You might be the recent engineering grad who spent a summer at a busy front desk, in a popular restaurant, or on a support line because you like people as much as you like problems, and who’s been quietly automating things nobody asked you to fix since your first CS class. Or, you might be the person who leads team projects, tinkers with the dashboards, automations, or workflows so automatically that colleagues assume you are an engineer even if you aren’t. If that sounds like you, this role turns that problem-solving instinct into your core responsibility.

As a Support Engineer, you’ll bring empathy and judgment to the cases that need it most, own the quality of AI-driven solutions in your domain, and synthesize patterns that influence Product and Engineering roadmaps. We hire for judgment, taste, and curiosity, not process adherence. The bar isn’t how many cases you closed; it’s how much you reshaped the conditions under which cases happen.

Role and Responsibilities

  • Synthesize and share customer insights. Surface patterns from your cases in weekly and monthly reports, participate in Product and Engineering discussions with what you’re learning, and mentor Support Team members on AI workflows, scripting, and SQL queries.
  • Use Good Judgment to Solve Cases. Own customer escalations with cases that genuinely require seasoned judgment, the ones AI can’t safely close. Build and protect customer trust in moments that matter.
  • Build and own AI quality. Configure AI within Elation’s stack (intents, knowledge sources, escalation rules), build lightweight external automations and scripts, and own the quality of AI outputs in your domain.

What success looks like in your first 6 months

  • Delivered solutions that reduced case volume by 10% or eliminated recurring issue categories, with measurable customer impact (e.g., CSAT, reduction in case reopens)
  • A monthly drumbeat of synthesized insights that Product and Engineering act on, with visible impact on customer experience or a measurable drop in case volume
  • Owns a measurable case-volume reduction in your domain by making cases not happen, not by closing them faster
  • You question default workflows instead of just executing them, and you ship more by removing work, not just doing more of it
  • You build with AI to make yourself and the teammates around you faster — automating triage, drafting responses, prototyping internal tools, and turning one-off builds into reusable patterns Support can run with
  • You’ve picked up or sharpened a technical skill — SQL, Python, an API, a scripting language — specifically because a customer problem needed it, not because a course assigned it
  • Mentors Associate teammates on AI builds and pattern synthesis
  • Identified and closed gaps across internal and customer-facing documentation, improving accuracy and reducing repeat questions.

Professional Qualifications

  • 1–5+ years of experience in Engineering, data analytics, or AI/automation tinkering in any field — OR a degree in Computer Science, Engineering, or a related technical field, plus real experience talking to people under pressure (support, hospitality, retail, service, resident advising)
  • Comfortable enough with code to experiment : you’ve written scripts, touched an API, or built something in Python, SQL, or JavaScript — even if it was just for a class project , team project or yourself
  • A concrete portfolio of things you’ve built or shipped: prompt-engineered systems, dashboards, automations, class or personal projects — with evidence of outcomes
  • Strong customer-facing communication and trust-building skills
  • Pattern recognition and synthesis muscle
  • AI-native default. Reaches for AI tools first, treats ambiguity as the work rather than a blocker, and wants to learn how to configure and supervise these systems — not just use them
  • A deep desire to drive results for our customers, with high ownership over the outcomes you own
  • Curiosity and natural problem-solving instincts
  • An instinct to raise the bar for the teammates around you — teaching others to build and synthesize, not just modeling it yourself

Show us your work

Along with your application, in a cover letter send us:

  1. 2–3 things you’ve built or shipped that changed a metric or outcome — a work project, a personal build, or something from school or an internship — what you made, who it was for, why you needed to do it, and what changed.
  2. A short story about a time your analysis or insight changed a decision someone else made.

Salary range

$70,000 – $95,000 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.

Apply now >

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