2 months ago
Toronto, CanadaEntry Level / Mid Level
Responsibilities
- Understand client onboarding, configuration settings, integrations, and housing business workflows.
- Provide prompt, empathetic, and technically accurate customer support.
- Troubleshoot issues by gathering reproduction steps, assessing business impact, and advising clients on best practices for configuring and using the AI Assistant.
- Investigate root causes using SQL queries, logs, and other data sources.
- Document bugs with clear issue descriptions, reproduction steps, business impact, and supporting documentation.
- Communicate bug fixes to customers, confirm resolution, and share updates internally.
Requirements
- Bachelor’s degree in Computer Science or an equivalent field.
- 1–3 years of experience in a similar role or field.
- Technical proficiency demonstrated through a computer science degree, bootcamp certificate, or previous work experience.
- Strong analytical, data-driven decision-making, written communication, and verbal communication skills.
- Customer-facing experience and experience with support software or CRMs such as Zendesk or Salesforce are preferred.
- Willingness to work in person at the office five days per week.
- Preferred experience includes Retool, Google Sheets or Excel, Datadog or similar event-logging software, Postman or similar API testing tools, Tableau, and SQL queries.
Benefits
- Company equity.
- Medical, dental, and vision premiums covered at 100%.
- Fully paid parental leave.
- Fitness and home services stipend.
- In-office environment with an open floor plan, stocked kitchen, and meals covered.
- Unlimited vacation and paid holidays.
- Fully in-office schedule requiring five days per week.
Tech Stack
Categories
Solutions Engineering
About EliseAI
EliseAI builds a conversational AI platform that automates customer interactions and back‑office workflows for housing and healthcare organizations. Its SaaS products handle leasing inquiries, resident communications, scheduling, and patient access, integrating with property‑management and clinical systems. Founded in 2017 and headquartered in New York, the privately held company sells to property operators and healthcare providers looking to reduce manual work and improve response times.