OpenRouter Logo

OpenRouter

AI Provider Operations & Support Engineer

Reposted One Month Ago
Remote
Hiring Remotely in US
215K-280K Annually
Mid level
Remote
Hiring Remotely in US
215K-280K Annually
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 OpenRouter

OpenRouter is the open AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power some of the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve.

As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.

About the Role

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

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

Key Responsibilities
  1. Tooling for benchmarks, onboarding and internal operations (~60%)

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

  • Build internal evals to quickly evaluate models and endpoints

  • Document internal processes and prime them for automation

  1. Model Launches & Provider Partnerships (~40%)

  • Run end-to-end launch playbooks for various model types (text, audio, image, audio, video, embeddings, and rerankers): 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.

About You
  • Experience: 2-3 years at a startup, software engineering, product ops, or similar.

  • Technical Skills: Comfortable building with inference APIs, including Chat Completions, Responses, and/or Messages API; can read API docs and troubleshoot with logs/cURL/Postman. Experience with TypeScript/JavaScript and/or Python.

  • 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.

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.

Similar Jobs

31 Minutes Ago
In-Office or Remote
20-24 Hourly
Junior
20-24 Hourly
Junior
Fintech
The Collections Specialist conducts funding reconciliations, identifies overdue plan sponsor balances, manages collections tracking, and performs outreach to recover funds. Responsibilities include negotiating payment plans, documenting collection activities, updating management, supporting reconciliation work, maintaining procedures, and escalating issues. The role requires strong communication, negotiation, Excel, analytical, critical-thinking, and record-keeping skills, along with accounting, collections, or audit experience.
Top Skills: CbasFirst DollarFsaHraHsaExcelPanda
32 Minutes Ago
In-Office or Remote
115K-140K Annually
Senior level
115K-140K Annually
Senior level
Fintech
Leads the Level 1 Partner Support Services function, overseeing support operations, staffing, budgets, service-level performance, incident triage, escalations, workforce planning, and continuous improvement. Manages supervisors, team leads, and frontline staff while developing support processes, documentation, knowledge management, automation, self-service, and governance. Partners with Technical Operations, Engineering, Account Management, Relationship Management, and Operations leadership to improve issue resolution and partner satisfaction.
Top Skills: Jira Service ManagementNice CxoneServicenowZendesk
48 Minutes Ago
Remote or Hybrid
United States
80K-100K Annually
Senior level
80K-100K Annually
Senior level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Coordinates large-scale events and national programs from planning through execution, including budgets, timelines, staffing, logistics, contingency planning, vendor relationships, and on-site production. Translates creative concepts into event strategies, collaborates with VIP and cross-functional teams, gathers feedback, and improves future experiences. Represents the DraftKings brand while delivering consistent attendee experiences.
Top Skills: Google WorkspaceExcelMicrosoft PowerpointMicrosoft Word

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account