220K–260K USD / year
Forward Deployed Engineer
Customer successHybrid — San Francisco Bay Area, California
Published on 2026-06-01
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About this role
Provide hands-on post-sales technical support to help customers integrate OpenRouter and scale AI inference in production. Advise on architecture, model and provider selection, routing, reliability, and cost optimization while connecting customer feedback with internal teams.
About the company
OpenRouter is a unified API that routes requests across large language model providers so developers can access, switch, and scale models without lock-in or complex multi-provider integrations.
The team
Go To Market and Customer Success
Stack
OpenRouter APIOpenAI-compatible APIsPythonTypeScriptREST APIsStreaming APIs
What you'll do
- Lead technical onboarding and guide customers from kickoff to production.
- Integrate and troubleshoot APIs, SDKs, model selection, routing, latency, and reliability.
- Recommend model, provider, routing, fallback, caching, and cost-optimization strategies.
- Run technical working sessions, architecture reviews, and developer enablement.
- Create reusable implementation guides, code examples, and customer playbooks.
- Partner with Customer Success, Sales, Product, and Engineering to drive adoption and share customer feedback.
What we're looking for
- 4+ years in a technical customer-facing role such as FDE, Solutions Engineer, Solutions Architect, or Customer Engineer.
- Strong software engineering fundamentals and ability to read, write, and debug production-quality code.
- Experience with APIs, SDKs, cloud infrastructure, developer platforms, or AI/ML infrastructure.
- Familiarity with LLMs, inference, model evaluation, prompt engineering, agents, and production AI patterns.
- Strong communication, customer judgment, ownership, and ability to work through ambiguity.
- Based in the San Francisco Bay Area and able to regularly visit customer offices and travel as needed.
Nice to have
- Experience with model routing, evaluations, observability, or LLM application frameworks.
- Experience building production AI applications, agents, chat products, or copilots.
- Experience in post-sales engineering at an API, infrastructure, developer tools, or AI company.
- Experience with enterprise customers, startups, or technical founders.
- Ability to create technical guides, demos, example repositories, or architecture diagrams.
Benefits
- Equity
