# Business Systems Engineer

**Company:** [ClickUp](https://hotfix.jobs/companies/clickup)
**Location:** Remote
**Role:** Revenue Operations
**Salary:** $144k – $181k/yr
**Experience:** 3+ years
**Skills:** Salesforce, NetSuite, Workato, Mulesoft, Apex, Python, JavaScript, Zapier, LLM APIs, Mcp
**Posted:** 2026-06-09

> Design, build, and operate AI-powered automation and integration systems across Salesforce, NetSuite, Workato, and MuleSoft to power ClickUp's Go-To-Market operations.

## Job Description

## Key Responsibilities

### AI-Native Automation & Agent Development
- 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.
- 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.

### Business Systems Integration & Architecture
- Build and maintain integrations across Salesforce, NetSuite, Workato, MuleSoft, DealHub (CPQ), and other GTM platforms.
- 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.
- Apply a build-vs-buy mindset: evaluate whether a given automation need is best solved with native platform capabilities, iPaaS tooling, or custom code.

### Platform Development & Tooling
- Build internal tooling, low-code/no-code solutions, and lightweight applications using platforms such as Retool, Replit, or similar.
- Write automation scripts and data transformation logic in Python, JavaScript, or Apex as needed.
- Utilize Zapier, Workato, and similar iPaaS platforms to orchestrate cross-system workflows.
- Own the full lifecycle of what you build: discovery, design, development, testing, deployment, documentation, and ongoing optimization.

### Reliability, Observability & Continuous Improvement
- Monitor the health and performance of automations and integrations; proactively identify degradation, data inconsistencies, or failure patterns.
- Conduct root-cause analysis of integration failures or automation breakdowns and drive durable fixes.
- Maintain runbooks and operational documentation.
- Gather feedback from business stakeholders and iterate on existing automations.

### Cross-Functional Collaboration & Stakeholder Engagement
- 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 and log AI/automation work in the team's AI Excellence registry.
- Serve as a subject matter expert for business systems automation and AI.

## Qualifications

### Experience
- 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.

### Skills & Competencies

**Technical**
- Salesforce configuration, automation (Flow, Process Builder), Apex, and data model design — admin or developer-level proficiency required.
- NetSuite workflows, SuiteScript, SuiteBundler, saved searches, and data model — particularly as it relates to order management, billing, and revenue recognition.
- Hands-on experience with Workato, MuleSoft, Zapier, or comparable iPaaS platforms — including multi-step flows, error handling, and observability.
- Practical experience with LLM APIs (OpenAI, Claude, etc.), prompt engineering, agentic workflow design, and MCP integrations.
- Proficient with Python, JavaScript, or Apex for automation scripting and data transformation; comfortable with REST APIs, webhooks, JSON, and OAuth-based integrations.
- Strong understanding of business systems data models and integration patterns (event-driven, batch, real-time).

**Operational & Mindset**
- Ownership: Take full responsibility for the systems you build — from reliability and documentation to stakeholder trust and continuous improvement.
- Velocity: Move fast, iterate, and ship. Know when "good enough and deployed" beats "perfect and blocked."
- AI & Automation mindset: Default to asking "how can an agent or LLM handle this?" before reaching for a manual workflow.
- Collaboration: Bridge the gap between technical architecture and business impact.
- Growth: Stay current on emerging AI capabilities, evaluate what's production-ready, and continuously raise the bar on what GTM systems can do.

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