About this opportunity
Overview
OpenAI is hiring an AI Support Engineer to help customers resolve complex technical issues and get the most value from OpenAI’s products and platform. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement.
You’ll work directly with customers through support tickets and live calls, troubleshoot high-impact and often ambiguous issues, and partner closely with Engineering, Product, Operations, Sales, and Technical Success to improve the support experience at scale.
What You'll Do
- Diagnose and resolve complex customer issues, including API failures, integration problems, authentication errors, and production incidents.
- Own issues end to end by reviewing logs, analyzing system behavior, reproducing bugs, and delivering technical guidance.
- Serve as a trusted technical resource for OpenAI’s products and platform.
- Act as an escalation point for difficult support cases and work with Engineering to prevent recurring issues.
- Use scripting and AI-enabled tools to improve internal tooling and automate operational workflows.
- Share insights from customer issues with Product and Go-To-Market teams to help shape scaling strategies.
- Identify opportunities for automation and implement scalable improvements that reduce manual effort and improve support efficiency.
- Provide occasional holiday and weekend on-call coverage as needed.
Requirements
- 5+ years of experience in User Operations, Engineering, Support Engineering, or a similar technical role, preferably in fast-paced or high-growth environments.
- Experience using tools such as Codex, ChatGPT, or the OpenAI API to script or build automations, including Python-based workflows.
- Strong SaaS troubleshooting skills and the ability to quickly learn new technologies and complex concepts.
- Polished enterprise communication skills and the ability to stay calm during high-stakes customer incident calls.
- Experience building strong relationships with customers and cross-functional partners to drive resolution.
- Strong critical thinking and the ability to explain technical issues clearly to technical and non-technical audiences.
- Comfort working in ambiguity, adapting quickly, and continuously learning.
- Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.
Compensation
CA$200K – CA$290K base salary, plus equity. Total compensation may also include a performance bonus and benefits.