How to apply for Senior Support Engineer - Toronto

About OpenAI

OpenAI is a frontier AI research and product company with teams working on alignment, policy, and security. It posts specific high-impact opportunities and notes that it does not necessarily recommend working at other positions there. The company also links to external concerns about doing harm by working at a frontier AI lab, so candidates should engage with that tradeoff directly.

About the role

This Senior Support Engineer role sits on the Technical Support team and works directly with strategic enterprise accounts and product teams to solve difficult technical problems. The engineer designs and runs operational processes to monitor top strategic customers and a 24x7 response team, and works with Infrastructure and Engineering to improve customer experience at scale. The team takes an automation-first approach and uses AI to scale support operations.

A typical day

A typical day likely involves working directly with strategic enterprise customers on difficult technical issues while coordinating with Technical Success, Product, Engineering, and Infrastructure teams. You would also maintain and improve operational processes for monitoring top customers and the 24x7 response team, with an automation-first approach to scaling support. The job post does not describe a fixed daily routine, so ask the hiring team how time is split between customer work, process design, and cross-team collaboration.

Who OpenAI is looking for

• Has experience providing technical guidance and troubleshooting complex issues for enterprise or developer customers building mission-critical solutions.
• Can design and run operational processes for monitoring strategic customers and coordinating a 24x7 response team.
• Works well across Technical Success, Product, Engineering, and Infrastructure teams to resolve issues and improve support at scale.
• Thinks from an automation-first mindset and is comfortable using AI to scale support operations.

Tips for this application

• Read the 80,000 Hours career review on working at an AI lab, linked in the job post, and be ready to discuss your own reasoning about working at a frontier AI company.
• Tailor your materials to the exact Senior Support Engineer listing, since OpenAI states it does not necessarily recommend working at other positions there.
• Give concrete examples of supporting strategic enterprise accounts with mission-critical builds, not just general customer support.
• Show how you have designed or run operational processes for monitoring top customers and a 24x7 response team.
• Demonstrate automation-first thinking and any experience using AI to scale support operations, since the job description names that approach directly.

What to cover in your cover letter

['Your direct experience with strategic enterprise accounts and technically difficult issues in a support engineering context.', 'A specific example of designing or running an operational process for monitoring top customers or a 24x7 response team.', 'How you have worked with Infrastructure, Engineering, Product, or Technical Success teams to improve customer experience at scale.', 'Your automation-first approach and any concrete use of AI to scale support operations.']

Research before applying

• Read the 80,000 Hours career review on working at an AI lab, which the job post links to, and form a view on the risks it describes.
• Review OpenAI's product and API documentation to understand what developers and enterprises build on OpenAI models.
• Look into OpenAI's stated work on alignment, policy, and security to understand the company context around the support role.
• Check OpenAI's careers page for how it describes specific opportunities, since the post says it does not necessarily recommend working at other positions there.

Likely interview topics

Based on the job description, expect questions about:

• How you would design and run an operational process to monitor top strategic customers and a 24x7 response team.
• A walkthrough of a technically difficult customer issue you resolved and how you worked with engineering or infrastructure teams.
• How you approach an automation-first support operation and where AI can scale support without lowering quality.
• How you would collaborate with Technical Success, Product, Engineering, and Infrastructure on a complex enterprise account.
• Your reasoning about working at a frontier AI company, including the concerns raised in the linked 80,000 Hours career review.

Common mistakes to avoid

• Applying with generic customer support experience and no evidence of supporting strategic enterprise accounts or mission-critical builds.
• Ignoring the automation-first requirement and describing only manual troubleshooting or ticket handling.
• Skipping the linked career review and showing no awareness of the concerns about working at a frontier AI company.