Business Systems Engineer

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.