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. 🚀

The Mission

The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.

As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators.

What You'll Own

MCP Server Platform

Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack

Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch

Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable

Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server

Agent Orchestration & AI-Native Products

Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more

Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable

Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations

Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction

GTM Platform Engineering

Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling

Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context

Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns

Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage

AI-Native Development Practice

Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight

Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds

Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters

Required Qualifications

5+ years of professional software engineering experience with production systems

Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code

Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling

Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch

Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users

Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management

Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness

Clear written communication: design docs, ADRs, and runbooks that others actually read