Scaled Support Specialist

OpenRouter

1d • Remote

About The Position

OpenRouter is the unified interface for large language models. We route billions of tokens every month, helping developers build AI applications without worrying about provider lock-in, downtime, or complex integrations. We're a small, focused team backed by top-tier investors.
We're looking for a Scaled Support Specialist who lives at the intersection of deep technical troubleshooting and exceptional human communication. You'll be the front line for developers integrating with OpenRouter's API — diagnosing complex issues across dozens of model providers, untangling new edge cases, and making sure every developer who reaches out feels like they have a partner, not a ticket number.
This is not a scripted helpdesk role. Our users are highly capable engineers building the next generation of AI applications, which means the problems they bring to us are complex, nuanced, and frequently novel. You'll encounter issues daily where there is no runbook. You'll need to figure it out, often with incomplete information, and usually before anyone else on the team has seen it either.
If you're the kind of person who reads API changelogs for fun, has strong opinions about error message quality, and gets genuine satisfaction from turning a frustrated developer into a happy one — keep reading.

Requirements

• 2+ years in a technical support, developer support, solutions engineering, or similar role — ideally supporting an API or developer tools product
• Exceptional troubleshooting instincts
• Strong API fluency
• Proficiency in at least one scripting language (Python or JavaScript/TypeScript)
• Excellent written communication
• Comfort with ambiguity
• Genuine passion for AI and LLMs.

Nice To Haves

• Familiarity with the OpenAI SDK / Chat Completions API format
• Experience with AI/ML frameworks like LangChain, LlamaIndex, or Hugging Face
• Experience with observability tools (logging, tracing, metrics)
• Experience scaling support operations — e.g., implementing AI-assisted support bots, building internal support dashboards, or creating automated triage workflows
• Contributions to open-source projects or developer communities
• Background in or exposure to ML/AI concepts beyond just using APIs (benchmarking, evals, fine-tuning)

Responsibilities

• Diagnose and resolve complex technical issues across OpenRouter's API, spanning multiple LLM providers (OpenAI, Anthropic, Google, DeepSeek, Meta, Mistral, and more)
• Reproduce bugs in ambiguous environments — different SDKs, languages, frameworks, and auth configurations — using tools like curl, Postman, and small test apps
• Read and interpret logs, headers, and request traces; identify whether the problem is client-side, OpenRouter-side, or an upstream provider issue vs. a user misconfiguration)
• Turn "it doesn't work" into actionable findings: exact steps to reproduce, clear hypotheses, and verified fixes or workarounds
• Proactively test new model launches and provider integrations — catching issues before users report them
• Respond to developer inquiries across support channels (email, Discord, GitHub) with clarity, empathy, and technical precision
• Translate complex technical root causes into human-friendly explanations — whether the developer is a seasoned ML engineer or a hobbyist building their first chatbot
• Set expectations on timelines and next steps; provide proactive updates and close the loop
• Identify patterns in support requests and advocate internally for documentation improvements, API design changes, or better messages
• Stay current with the rapidly evolving LLM ecosystem — new models, new providers, new capabilities, breaking changes
• Navigate ambiguity as a default: when the standard answer fails, research independently, test creative workarounds, and unblock developers without waiting for instructions
• Develop deep expertise in OpenRouter's routing logic, fallback behavior, rate limiting, streaming (SSE), and billing systems with minimal hand-holding
• Spot systemic issues underneath individual tickets and push for the fix that prevents 50 more
• Identify trends in support volume to capture product feedback and inform roadmap priorities
• Collaborate on improving the developer experience — proposing better guardrails, default behaviors, or error surfaces based on real-world pain you observe daily

Benefits

• Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs
• High ownership and autonomy to define how developer education and community scale
• Opportunity to shape a foundational function at a fast-growing company
• Fully remote team with a culture of autonomy and trust
• Competitive compensation, including base salary and equity

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed