Business Systems Engineer

ClickUp

Business Systems Engineer designing, building, and operating automation and AI systems for ClickUp. Collaborating across teams to enhance business operations and architecture.

Posted 6/9/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $144,000 - $181,000 per yearWebsite

Tech Stack

Tools & technologies

ERPJavaScriptPython

About the role

Key responsibilities & impact

Design and build AI-powered automations and agentic workflows across the GTM tech stack — including Salesforce, NetSuite, Workato, and MuleSoft — to eliminate manual effort and accelerate business operations.
Develop and deploy ClickUp Super Agents and LLM-based automations to automate tasks such as deal data enrichment, quote generation assistance, order validation, revenue recognition triggers, and exception handling in quote-to-cash workflows.
Architect and implement MCP (Model Context Protocol) integrations that allow AI agents to interact with business systems contextually and safely — enabling intelligent, event-driven actions across the GTM platform.
Explore and evaluate emerging AI capabilities (RAG, fine-tuning, multi-agent orchestration) and determine which are production-ready for GTM business systems use cases.
Build reusable AI templates, automation patterns, and agent blueprints that can be extended across the GTM Engineering team.
Build and maintain integrations across Salesforce, NetSuite, Workato, MuleSoft, DealHub (CPQ), and other GTM platforms — with a strong bias toward clean architecture, low technical debt, and supportable design.
Own end-to-end integration patterns for critical business flows such as lead-to-opportunity, quote-to-cash, order-to-fulfillment, and revenue reporting pipelines.
Design data flows and transformation logic that keep business data accurate, consistent, and accessible across systems without creating fragile point-to-point dependencies.
Apply a build-vs-buy mindset: evaluate whether a given automation need is best solved with native platform capabilities, iPaaS tooling, or custom code — and make the case clearly.
Build internal tooling, low-code/no-code solutions, and lightweight applications using platforms such as Retool, Replit, or similar to extend business systems capabilities with minimal overhead.
Write automation scripts and data transformation logic in Python, JavaScript, or Apex as needed to bridge gaps that platform tooling cannot address natively.
Utilize Zapier, Workato, and similar iPaaS platforms to orchestrate cross-system workflows that are maintainable, observable, and well-documented.
Own the full lifecycle of what you build: discovery, design, development, testing, deployment, documentation, and ongoing optimization.
Monitor the health and performance of automations and integrations you own; proactively identify degradation, data inconsistencies, or failure patterns before they impact business operations.
Conduct root-cause analysis of integration failures or automation breakdowns and drive durable fixes — not just incident patches.
Maintain runbooks and operational documentation so that platform behavior is understandable and recoverable by the broader team.
Gather feedback from business stakeholders and iterate on existing automations to improve accuracy, reduce edge cases, and adapt to evolving GTM processes.
Partner with Sales, Revenue Operations, Finance, and Customer Success stakeholders to translate business requirements into well-scoped technical solutions.
Work closely with GTM Systems Engineering, DevOps, and BSA teammates on architecture decisions, intake prioritization, and delivery execution.
Contribute to the GTM Systems Engineering operating model: maintain task hygiene, communicate proactively on large initiatives, and log AI/automation work in the team's AI Excellence registry.
Serve as a subject matter expert for business systems automation and AI — educating stakeholders on what's possible and setting realistic expectations on scope and delivery.

Requirements

What you’ll need

3–5+ years in a business systems engineering, systems administration, or integration engineering role.
Demonstrated experience building and shipping automations or integrations that delivered measurable business value in production environments.
Hands-on experience with Salesforce and at least one ERP platform (NetSuite strongly preferred).
Experience deploying AI or LLM-powered automations in a production business systems context — or a clear, demonstrated trajectory toward it.
Experience working in a high-velocity environment where you manage multiple concurrent priorities and adapt quickly to changing business needs.
Optional but valued: experience with DealHub (CPQ), ClickUp, quote-to-cash workflows, or revenue operations systems.

Benefits

Comp & perks

Equity
401k
Health, Dental, and Vision insurance
Spending accounts
Life & Disability
Paid parental leave
Flexible paid time off
Enhanced employee assistance program
Employee wellness stipend
Professional development stipend

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-powered automationsagentic workflowsintegration engineeringdata transformation logicautomation scriptsPythonJavaScriptApexlow-code/no-code solutionsMCP (Model Context Protocol)

Soft Skills

communicationproblem-solvingadaptabilitystakeholder managementcollaborationroot-cause analysisfeedback gatheringdocumentationproject managementproactive monitoring