Business Systems Engineer

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 — 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.
• Business Systems Integration & Architecture
• 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.

Languages