Business Systems Engineer

About the role

As a Business Systems Engineer on the GTM Engineering team, you will design, build, and operate the automation and AI systems that power ClickUp's Go-To-Market business. This role sits at the intersection of business systems architecture and applied AI, focusing on eliminating manual effort and accelerating revenue workflows through intelligent agents and LLM-powered automations. You will partner with Sales, Finance, and Revenue Operations to build and maintain scalable, automated infrastructure.

Responsibilities

• Design and build AI-powered automations and agentic workflows across the GTM tech stack including Salesforce, NetSuite, Workato, and MuleSoft.
• Architect and implement MCP integrations to allow AI agents to interact with business systems contextually and safely.
• Build and maintain integrations across Salesforce, NetSuite, Workato, MuleSoft, and DealHub with a focus on clean architecture and low technical debt.
• Develop internal tooling and lightweight applications using platforms like Retool or Replit to extend business systems capabilities.
• Monitor the health and performance of automations and integrations, conducting root-cause analysis for failures and maintaining operational documentation.
• Partner with cross-functional stakeholders to translate business requirements into well-scoped technical solutions.

Required skills

• Salesforce
• NetSuite
• Workato
• MuleSoft
• Python
• JavaScript
• Apex
• iPaaS
• LLM APIs
• Prompt engineering
• REST APIs
• JSON

Nice to have

• DealHub
• ClickUp Super Agents
• SuiteScript
• SuiteBundler

Qualifications

• 3–5+ years in a business systems engineering, systems administration, or integration engineering role
• Hands-on experience with Salesforce and at least one ERP platform
• Experience deploying AI or LLM-powered automations in a production business systems context

About the Company

ClickUp is an AI-native company building the first truly converged AI workspace that unifies tasks, docs, chat, calendar, and enterprise search. Every team member is expected to leverage AI daily.