Business Systems Engineer

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🇺🇸 United States – Remote

💵 $144k - $181k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

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ClickUp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

☁️ SaaS

⚡ Productivity

🏢 Enterprise

💰 $400M Series C - ClickUp on 2021-10

SaaS • Productivity • Enterprise

ClickUp is a cloud-based SaaS work management and productivity platform that consolidates projects, docs, chat, time tracking, automations and AI-driven "Super Agents" into a single workspace. It helps teams and enterprises streamline workflows, replace fragmented software stacks, and boost productivity with integrations, customizable agents/workflows, and enterprise-grade security and compliance.

📋 Description

• 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

• 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

• 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