ClickUp - Senior Backend Engineer

• Own and ship the backend product work that brings ClickUp's AI-driven experiences to life, ensuring the features our users interact with are fast, reliable, and well-architected. • What success looks like • Ship backend product features that power AI-driven user experiences at scale: agent interactions, intelligent workflows, and context-aware product capabilities. • Build services that are reliable, observable, and tightly integrated with the product surface. • Partner closely with AI engineers, product managers, and designers to translate product vision into production-ready backend implementations. • Move fast without breaking things: balance iteration speed with code quality and system reliability. • Help the team make smart tradeoffs between feature velocity, system durability, and user experience. • 5+ years of backend engineering experience building and shipping user-facing product features at meaningful scale. • Strong fundamentals in API design, service architecture, data modeling, and performance optimization. • Experience working directly with or in support of AI/ML systems in production (model integration, inference pipelines, or agent-driven features). • Product-minded: you care about what the user experiences, not just what the system does internally. • Comfort working in ambiguous, fast-moving environments where the AI landscape is shifting constantly. • Ability to break down product requirements into clean technical implementations and ship them iteratively. • AI-native mindset: you're not just adjacent to AI, you're genuinely excited about agents, LLMs, and building the product experiences that make them useful. • Experience building backend features for agent-based or AI-powered product experiences. • Familiarity with LLM integration patterns: RAG, function calling, tool use, prompt routing, context management. • Experience with event-driven or asynchronous architectures. • Proficiency in TypeScript/Node.js, Python, or Go. • Experience in SaaS, productivity, or developer-platform environments. • Familiarity with modern AI patterns: vector databases, model gateways, inference optimization, orchestration frameworks. • Background at a startup or high-growth company where you shipped product fast and wore multiple hats.