LLM router and marketplace
Scaled Support Specialist
Location
United States
Posted
7 days ago
Salary
Not specified
No structured requirement data.
Job Description
About OpenRouter
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.
About the Role
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.
What You'll Do
Troubleshooting & Problem Solving (Core Focus)
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 appsRead 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
Developer Communication & Advocacy
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
Self-Directed Research & Learning
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
Bridge to Product & Engineering
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
What You'll Bring
Required:
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)
Why OpenRouter
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
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