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Provider Operations & Support

Role overview

Qualifications

  • 2-3 years in a startup, solutions engineering, product ops, or similar
  • Comfortable building demos and scripts; can read API docs and troubleshoot
  • Experience with TypeScript/JavaScript and/or Python
  • CS/Engineering degree is a plus, not required with demonstrated technical aptitude

Responsibilities

  • Run end-to-end launch playbooks: scoping, test plans, latency/quality checks, pricing quotas, docs, and announcement assets
  • Coordinate with model providers to integrate, QA, and hit ship dates
  • Build internal tools to help speed up the model onboarding process
  • Document internal processes and prime them for automation

Key facts

Other skills

  • Technical Acumen
  • Problem Solving
  • Communication
  • Teamwork
  • Quick Learning

About the company

OpenRouter logo

OpenRouter

Developer Tools & DevOps Platforms

Discover and use the latest LLMs. 500+ models (incl. 50+ free), explorable data, private chat, & a unified API. Join our community on Discord - https://openrouter.ai/discord Checkout the "Live" model rankings - https://openrouter.ai/rankings See the enterprise offering - https://openrouter.ai/enterprise

Company details

IndustryDeveloper Tools & DevOps Platforms
Company size11 - 50

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Job description

About the Role

OpenRouter is an LLM marketplace that lets developers use frontier models in one place. This means shipping frequent model launches and making integration dead simple.

We’re looking for an AI enthusiast to manage model launches and provider onboarding. You’ll help bring new models to market and improve the onboarding process for new providers. This is an ideal role if you love tinkering with AI models, want to develop technical depth, and want to work directly with all of the model labs and providers in the AI ecosystem.

Key Responsibilities

1. Model Launches & Provider Partnerships (~60%)

  • Run end-to-end launch playbooks: scoping, test plans, latency/quality checks, pricing & quotas, docs, and announcement assets.

  • Coordinate with model providers to integrate, QA, and hit ship dates.

  • Maintain clear versioning and release notes; manage deprecations and migrations.

2. Tooling for benchmarks, onboarding and internal operations (~40%)

  • Build internal tools to help speed up the model onboarding process.

  • Build internal evals to evaluate models and endpoints quickly.

  • Document internal processes and prime them for automation.

About You

  • Experience: 2-3 years in a startup, solutions engineering, product ops, or similar.

  • Technical Skills: Comfortable building demos and scripts; can read API docs and troubleshoot with logs/cURL/Postman. Experience with TypeScript/JavaScript and/or Python. Git-literate. Bonus: familiarity with LangChain/LlamaIndex, benchmarking/evals, or basic cloud/observability.

  • Mindset: Ambitious owner, fast learner, bias to ship. Passionate about AI and developer experience.

  • Education: CS/Engineering degree is a plus, not required with demonstrated technical aptitude.

What We Offer

  • A front-row seat to real-world LLM adoption and access to cutting-edge models.

  • Growth into specialized or senior roles as we scale.

  • Collaborative, high-ownership environment.

  • Competitive compensation, benefits, and equity.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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