
1 - 10 employés
Fondée en 2023
🤖 Intelligence artificielle
☁️ SaaS
📚 Éducation
Artificial Intelligence • SaaS • Education
OpenRouter est une plateforme qui offre une interface unifiée pour accéder et utiliser divers grands modèles de langage (LLM) de plusieurs fournisseurs. Elle propose une intégration transparente avec les principaux modèles et améliore l'expérience utilisateur grâce à des fonctionnalités telles qu'une disponibilité fiable des modèles IA, des politiques de données détaillées et des tarifs compétitifs. Avec plus de 2,5 millions d'utilisateurs dans le monde et le support de plus de 400 modèles, OpenRouter simplifie le processus de travail avec les LLM pour les développeurs et les organisations.
🕒 il y a 6 jours
🗣️🇺🇸🇬🇧 Anglais requis
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1 - 10 employés
Fondée en 2023
🤖 Intelligence artificielle
☁️ SaaS
📚 Éducation
Artificial Intelligence • SaaS • Education
OpenRouter est une plateforme qui offre une interface unifiée pour accéder et utiliser divers grands modèles de langage (LLM) de plusieurs fournisseurs. Elle propose une intégration transparente avec les principaux modèles et améliore l'expérience utilisateur grâce à des fonctionnalités telles qu'une disponibilité fiable des modèles IA, des politiques de données détaillées et des tarifs compétitifs. Avec plus de 2,5 millions d'utilisateurs dans le monde et le support de plus de 400 modèles, OpenRouter simplifie le processus de travail avec les LLM pour les développeurs et les organisations.
• 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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