At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ClickUp is building the world's most complete platform for work by bringing tasks, docs, chat, search, and AI into one connected experience. We're hiring a Senior Backend Engineer - AI Product to join the AI Engineering team and build the backend services and product features that power ClickUp's next-generation AI capabilities.
This is a backend product engineering role at its core, but with one key difference: you'll be building AI-powered product experiences directly, not internal tooling or abstract platform layers. You'll ship features end-to-end in support of an AI team that is deep on coding agents, multi-agent orchestration, and production AI systems. We're looking for someone who is AI-native (you live in this space, you get the patterns, you're excited about what's possible) but whose strength is shipping reliable, scalable backend product code that delivers real user value.
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.
Key outcomes and responsibilities
- Design and implement backend APIs, services, and data flows that power user-facing AI product features.
- Own features end-to-end: from technical design through implementation, testing, rollout, and production monitoring.
- Build the backend logic for agent-driven product experiences: context retrieval, action execution, conversation management, and intelligent routing.
- Work directly with product and design to scope, estimate, and deliver features that users interact with daily.
- Drive reliability and quality: observability, incident response, performance tuning, and rollout safety for AI-serving product surfaces.
- Identify product-level bottlenecks and propose pragmatic backend solutions that improve the user experience.
- Contribute to architecture decisions that balance product velocity with long-term maintainability.
Required qualifications
- 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.
Preferred qualifications
- 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.
Location
- Fully remote
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**Equal Opportunity Employer **
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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