ClickUp Logo

ClickUp

Senior Backend Engineer - AI Product

Posted 6 Days Ago
Remote or Hybrid
Hiring Remotely in United States
160K-210K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
160K-210K Annually
Senior level
Build and ship backend product features powering AI-driven user experiences: design APIs and services, implement agent-driven logic (context retrieval, action execution, conversation management), ensure reliability and observability, collaborate with AI engineers and product teams, diagnose performance bottlenecks, and contribute to architecture and rollout decisions.
The summary above was generated by AI

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

#LI-REMOTE

#LI-AK2

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.

Privacy Notice

ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice.

If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details.

Visa Sponsorship

Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.

Fraud Alert

ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to [email protected].

AI Processing Notice

ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at [email protected].

Similar Jobs

Yesterday
Remote
United States
125K-225K Annually
Senior level
125K-225K Annually
Senior level
Artificial Intelligence • Machine Learning
The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.
Top Skills: AWSAzureGCPGoJavaKubernetesPythonTypescript
An Hour Ago
Remote or Hybrid
Junior
Junior
Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
The Services Project Coordinator manages installation jobs, coordinating with customers and service providers to ensure timely project execution and issue resolution.
Top Skills: Installation Management SystemSalesforce
An Hour Ago
Remote or Hybrid
106K-197K Annually
Senior level
106K-197K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Configure and support SAP reporting within the Record-to-Report OneGL program. Build CDS views, develop/configure reporting solutions, create test scripts, troubleshoot defects, support month-end close, and collaborate with onshore/offshore teams for implementation, enhancement, and training.
Top Skills: AbapAnalysis For OfficeCore Data Services (Cds)EclipseSap Analytics CloudWeb Intelligence

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account