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Braintrust

Developer Support Engineer

San Francisco$157k–$205kfulltimemidAdded 1 month ago

About this role

Braintrust seeks Developer Support Engineers to provide technical support for their AI observability platform, helping developers troubleshoot API and SDK issues while collaborating with Engineering to resolve bugs and improve the developer experience.

What you'll do

  • Diagnose and resolve API and SDK issues in customer Python or TypeScript codebases
  • Reproduce bugs, identify root causes, and partner with Engineering on fixes
  • Manage support communications via Slack and email with empathy and technical clarity
  • Create and maintain knowledge base documentation to prevent future blockers
  • Identify and propose improvements to developer experience and support workflows
  • Participate in on-call rotations for critical customer issues

What they're looking for

  • Python and/or TypeScript debugging and reasoning
  • API and SDK troubleshooting
  • Technical writing and clear communication
  • Problem-solving and ownership mindset
  • LLM API familiarity (OpenAI, Anthropic, etc.)
  • Developer tools or observability platform experience
  • Git and code contribution
  • Evaluation metrics or prompt engineering knowledge

Benefits

  • Medical, dental, and vision insurance
  • Hybrid work in San Francisco metro (flexible for experienced candidates)
  • Opportunity to influence product roadmap through customer feedback
  • Technical mentorship and career growth in high-growth environment
  • Culture of learning and mutual support
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Braintrust

Braintrust builds an AI observability platform that helps developers evaluate, monitor, and troubleshoot AI applications in production. The company is hiring Developer Support Engineers, Solutions Engineers, Data Engineers, Cloud Infrastructure Engineers, and Python engineers to support customer implementations, maintain SDKs and infrastructure, and drive the platform's technical growth.

Website
braintrust.com
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Likely interview questions

  • Describe a time you diagnosed a complex technical issue in a customer's codebase—what was your approach and how did you communicate the solution?
  • How would you handle a situation where a customer's problem stems from a misunderstanding of the API rather than a bug?
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