Frontend Software Engineer (Ramp Revenue)

Join the Ramp Revenue team, where you'll be at the forefront of building an AI-native operating system for Go-to-Market teams. As a Frontend Software Engineer, you'll design and ship AI-native revenue products, create fast and information-dense experiences, and own complex client-side architecture. You'll work directly with revenue teams and cross-functional partners, taking ownership of products from early discovery through production adoption, measurement, and iteration. Enjoy comprehensive benefits, unlimited PTO, and the opportunity to make a significant impact in the world of AI and revenue generation.

• Concevoir et expédier des produits de revenus natifs à l'IA de bout en bout, des interfaces React aux API et aux contrats de données qui les sous-tendent.
• Construire des expériences rapides et riches en informations pour examiner le travail des agents, comprendre le contexte client, prendre des décisions et agir.
• Posséder l'architecture complexe côté client à travers des surfaces de produit en temps réel, asynchrones et pilotées par des agents.
• This is a frontend-focused role for an engineer who obsesses over interaction design and complex product workflows, but is just as comfortable shaping the APIs and data contracts behind them
• Comfort working across API design, backend systems, and data models, even with frontend as your center of gravity
• Strong product judgment and the ability to turn complicated operational workflows into simple, trustworthy software
• A track record of shipping polished, production-grade product experiences and owning them through ambiguity
• Fluency with modern AI coding tools and an interest in designing production AI products around uncertainty, evidence, approvals, and recovery
• Experience designing interfaces for asynchronous systems, including partial results, background work, errors, retries, and user intervention
• Deep frontend expertise in TypeScript, React, and sophisticated state management for complex, data-intensive applications
• Experience building workflow, automation, agent, CRM, collaboration, or orchestration products
• Experience with information-dense enterprise applications, data visualization, or business intelligence tools
• Experience designing human-in-the-loop AI systems, including review, approvals, tool execution, evaluation, and recovery
• Experience with real-time systems, event-driven interfaces, or long-running asynchronous workflows
• Experience building reusable frontend systems or platform primitives used across multiple products
• An eye for excellent interaction design and a history of close partnership with product designers