LiteLLM (https://github.com/BerriAI/litellm) is a Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere] and is used by companies like Rocket Money, Adobe, Twilio, and Siemens.

Compensation: $5000/month

LiteLLM is hiring a Technical Customer Success Manager to be the bridge between our customers and our product. You'll own the technical support experience, ensure customer success through proactive engagement, and work closely with our engineering team to resolve issues and drive product improvements. This role combines technical problem-solving with relationship management — you'll be the trusted advisor helping customers maximize their success with LiteLLM while providing critical feedback to shape our product roadmap.

What you'll do

• Own and respond to technical support issues from customers using LiteLLM — primarily via Slack, Teams and email
• Scope support tickets and determine when to escalate bugs or feature requests to the engineering team
• Reproduce bugs and collaborate closely with Engineering to prioritize and resolve customer issues
• Conduct weekly 1:1 check-in calls with customers to proactively identify issues and ensure product success

What we're looking for

• Experience in technical customer success, support, or solutions engineering roles (required)
• Strong technical troubleshooting skills with ability to reproduce and debug complex issues
• Comfortable with APIs, integrations, and technical concepts related to AI/ML infrastructure
• Excellent communication skills for both technical and non-technical stakeholders

Why LiteLLM?

• We’ve accelerated revenue 15x last year into 7-figures ARR
• Our customers include some of the largest companies in the world like Adobe, NASA, Rocket Money, Netflix, IBM, etc.
• We have a seed stage valuation w/ series A metrics, so now is the best time to join
• We're a small but talent dense team that includes ex-Microsoft, Coinbase engineers & national record holders

Founding engineer will help with migrating key systems to aiohttp, handle LLM provider-specific quirks like Azure role handling, standardize LLMs to OpenAI Spec.

• Strong Python and async framework experience (e.g., aiohttp, FastAPI).
• Familiarity with LLM APIs (OpenAI, Azure, Hugging Face)
• Proven ability to optimize scalable, high-performance systems.