
1 - 10 funcionários
Fundada em 2023
🤖 Inteligência Artificial
☁️ SaaS
📚 Educação
Artificial Intelligence • SaaS • Education
OpenRouter é uma plataforma que fornece uma interface unificada para acessar e utilizar vários modelos de linguagem grandes (LLMs) de diversos fornecedores. Ela oferece integração perfeita com os principais modelos e melhora a experiência do usuário com recursos como disponibilidade confiável de modelos de IA, políticas de dados detalhadas e preços competitivos. Com mais de 2,5 milhões de usuários globais e suporte para mais de 400 modelos, o OpenRouter simplifica o processo de trabalho com LLMs para desenvolvedores e organizações.
🕒 Junho 1
🗣️🇺🇸🇬🇧 Inglês obrigatório
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1 - 10 funcionários
Fundada em 2023
🤖 Inteligência Artificial
☁️ SaaS
📚 Educação
Artificial Intelligence • SaaS • Education
OpenRouter é uma plataforma que fornece uma interface unificada para acessar e utilizar vários modelos de linguagem grandes (LLMs) de diversos fornecedores. Ela oferece integração perfeita com os principais modelos e melhora a experiência do usuário com recursos como disponibilidade confiável de modelos de IA, políticas de dados detalhadas e preços competitivos. Com mais de 2,5 milhões de usuários globais e suporte para mais de 400 modelos, o OpenRouter simplifica o processo de trabalho com LLMs para desenvolvedores e organizações.
• Lead technical onboarding for new customers after contract close, helping them move from kickoff to production usage. • Partner with Customer Success Managers and Account Executives to define success plans, implementation milestones, and technical adoption goals. • Help customers integrate OpenRouter into their applications, workflows, infrastructure, and developer environments. • Troubleshoot API, SDK, model selection, routing, latency, reliability, and deployment issues. • Create implementation guides, reference architectures, code examples, and reusable playbooks for common customer patterns. • Work with customers to understand their AI use cases, application architecture, traffic patterns, and inference goals. • Recommend model, provider, routing, fallback, caching, and cost-optimization strategies based on customer needs. • Analyze usage patterns to identify opportunities to increase adoption, improve reliability, reduce cost, or expand into new workloads. • Help customers evaluate models and providers across quality, latency, cost, reliability, privacy, and scale requirements. • Drive customers from initial API usage to broader production deployment across teams and applications. • Build strong technical relationships with customer developers, engineering leaders, AI teams, and platform teams. • Run technical working sessions, integration reviews, architecture discussions, and developer enablement sessions. • Act as a trusted technical advisor for customers building AI-native products, agents, internal tools, and production LLM workflows. • Translate complex technical concepts into practical guidance for developers and business stakeholders. • Advocate for developer needs internally and help improve the customer implementation experience. • Partner closely with Customer Success to improve retention, adoption, customer health, and expansion. • Collaborate with Sales on technical expansion opportunities and strategic account growth. • Work with Product and Engineering to surface customer feedback, feature requests, integration blockers, and product gaps. • Contribute to internal knowledge bases, customer playbooks, onboarding materials, and best practices. • Help define what excellent post-sales technical engagement looks like at OpenRouter.
• 4+ years of experience in a technical customer-facing role such as Forward Deployed Engineer, Solutions Engineer, Solutions Architect, Technical Account Manager, Developer Advocate, or Customer Engineer. • Strong software engineering fundamentals and ability to read, write, and debug production-quality code. • Experience working with APIs, SDKs, cloud infrastructure, developer platforms, or AI/ML infrastructure. • Familiarity with LLMs, inference, model evaluation, prompt engineering, agents, latency/cost tradeoffs, and production AI application patterns. • Ability to work directly with developers and engineering leaders to diagnose problems and design practical solutions. • Strong customer instincts: you understand how to drive outcomes, manage ambiguity, and build trust. • Excellent written and verbal communication skills, especially when explaining technical topics to mixed audiences. • High ownership, bias for action, and comfort operating in a fast-moving startup environment.
• Health insurance • Retirement plans • Paid time off • Flexible work hours • Professional development opportunities
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