Senior Software Engineer, Internally Deployed Products

Company: clickup

Location: United States (Remote)

Salary: $160k - $210k per year

Type: Full-time

Remote: Yes

Posted: 2026-06-29

About this role

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 ...

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