ClickUp
Senior Software Engineer, Internally Deployed Products
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 3 months ago · Added yesterday
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$160,000 to $210,000
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Product
Published by the employer
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the 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 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
Requirements
- ·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
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at ClickUp, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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