OpenRouter Logo

OpenRouter

Provider Operations & Support

Reposted 8 Days Ago
Remote
Hiring Remotely in US
Mid level
Remote
Hiring Remotely in US
Mid level
Manage model launches and provider onboarding in an AI marketplace, focusing on integration, QA, and internal tooling improvements.
The summary above was generated by AI
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.

Similar Jobs

An Hour Ago
Easy Apply
Remote
United States
Easy Apply
162K-230K Annually
Senior level
162K-230K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead the telematics data platform vision and roadmap, partner with R&D and AI teams, productize telematics via APIs and integrations, ensure enterprise-grade reliability, drive cross-functional alignment, and mentor other product managers.
An Hour Ago
In-Office or Remote
146K-246K Annually
Senior level
146K-246K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Design, develop, and deploy AI-native software that converts large-scale geospatial data into actionable intelligence. Build multi-agent workflows and integrate LLMs (GPT-4, Claude, Gemini) for contextual analysis and autonomous reasoning. Engineer agents with tool use, iterative self-refinement, and feedback loops; develop data ingestion and transformation layers; ensure secure, scalable cloud integrations; and deploy/operate systems in production using containerization, orchestration, and CI/CD.
Top Skills: AWSCi/CdClaudeClaude CodeCodexContainerizationEmbeddingsGCPGeminiGemini CliGoogle AdkGCPGpt-4JavaScriptLangchainLanggraphOrchestrationPythonRagVector Databases
An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
118K-179K Annually
Senior level
118K-179K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate large-scale data platforms and Spark/PySpark pipelines. Enable data integration, modeling, quality, and observability. Build MCP servers and AI-augmented tooling, mentor engineers, and lead cross-functional projects to deliver reliable data products.
Top Skills: Ai AgentsApache IcebergAuroraAWSAws RdsAzureDatabricksDbtFivetranGCPGoogle BigqueryMcp ServersMs Sql ServerMySQLOraclePostgresPysparkPythonSnowflakeSparkSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account