OpenRouter
Director, Customer Support
- Jenis pekerjaan
- Penuh waktu
- Cara kerja
- Hibrida
- Lokasi
- San Francisco Bay Area, California · New York, NY
- Dipublikasikan
- 24 Okt 2026
- Terakhir diperiksa
- 26 Okt 2026
Tentang posisi ini
ABOUT OPENROUTER
OpenRouter is the unified interface for AI inference, giving developers and organizations access to hundreds of models through a single API. Our platform helps teams choose, route, evaluate, and scale model usage across providers, making it easier to build production AI applications with the right model for every use case.
As inference becomes a core operating layer for modern software companies, OpenRouter helps customers move faster, reduce complexity, and get more value from the rapidly evolving model ecosystem.
ABOUT THE ROLE
We're looking for a Director of Customer Support to build and scale the next generation of technical support at OpenRouter.
This is a builder role, not a pure support management role.
Our goal isn't to scale support by continuously adding headcount. It's to build an AI-native support organization where intelligent systems, AI agents, and exceptional technical talent deliver a world-class experience to developers and enterprises at scale.
You'll lead our global support function, our technical support teams, and continuously build and improve the systems that power the customer experience. You'll be hands-on with AI, automation, and developer tooling while ensuring our customers receive fast, accurate, and deeply technical support.
The ideal candidate has led Customer Support at a hyperscaling AI-native company or model lab, understands what developers expect from mission-critical AI infrastructure, and has a track record of building systems that scale faster than the teams operating them.
WHAT YOU'LL DO
- Build an AI-Native Support Organization: Own the strategy and execution for a support function designed around AI, automation, and technical excellence rather than traditional headcount growth.
- Engineer for Scale: Build, orchestrate, and continuously improve AI agents, workflows, and internal tools that increase support capacity, quality, and efficiency.