Composio
Technical Support Engineer
About this role
Composio seeks a Technical Support Engineer to manage customer issues end-to-end for an AI agent infrastructure platform. You'll write code daily in TypeScript and Python, bridge customers with engineering, and own customer success while using LLMs to accelerate your work.
What you'll do
- Triage, reproduce, and resolve customer support tickets through to closure
- Write production code in TypeScript and Python to fix bugs and improve integrations
- Create clear bug reproductions and GitHub issues to communicate with engineering
- Assist prospects during pre-sales when they hit technical blockers
- Document recurring issues and write troubleshooting guides
- Monitor customer health and maintain relationships after critical bugs
What they're looking for
- Deep technical support experience with dev tools or infrastructure platforms
- TypeScript and Python development
- Ability to read stack traces, logs, and API requests to diagnose issues
- Customer communication and live debugging
- Experience building with language models and LLMs
- Technical writing and clear explanation of complex concepts
- Comfort mixing support, sales-adjacent, and customer success work
- Trustworthiness and transparency
Benefits
- $25M Series A funded by Lightspeed Ventures
- Remote work (PST or EST timezone required)
- Work with high-profile customers including YC companies, Zoom, and Glean
- Opportunity to build and ship code daily
- Company uses its own platform to automate processes
- Small engineering team environment
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Composio
Composio builds agent-to-tools infrastructure that enables AI agents to interact with external systems and APIs. The company is hiring AI engineers, deployment specialists, growth engineers, and customer-focused research engineers to expand its platform, improve production deployments, drive adoption, and work directly with enterprise customers.
- Website
- composio.dev
Likely interview questions
- Walk us through a time you debugged a complex technical issue for a customer—how did you reproduce it, and what was your approach to communicating the fix back to them?
- Describe your experience shipping code to production in a support or customer-facing role. What kind of fixes or patches have you owned end-to-end?