Business Systems Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with business leaders in sales, finance, support, customer success, operations, and human resources to identify and prioritize valuable automation opportunities

• Create a map of business workflows and develop a prioritized automation backlog

• Construct cross-functional automations and integrations utilizing HubSpot, Stripe, Rippling, Google Workspace, Jira, support tools, and data tools

• Design and implement AI and agent-driven workflows for summarization, routing, data entry, reconciliation, drafting, and research

• Assess, pilot, and implement AI tools throughout the organization

• Set up guidelines for approved tools, access, and data management

• Incorporate monitoring, error handling, security reviews, and governance into automations

• Quantify hours saved and errors eliminated

• Document automations to ensure maintainability and extensibility

• Within the first six months, deliver two or three high-impact automations, publish AI usage guidelines, and establish standards for automation building, monitoring, and documentation

• Report directly to the CISO and collaborate with leaders throughout the organization

⛳️ Requirements

• Over 5 years of experience in developing automations and integrations across business systems

• Strong skills in integration and scripting, particularly with APIs and webhooks

• Familiarity with an iPaaS platform, such as Zapier, Make, Workato, or n8n

• Proficiency in Python or JavaScript

• In-depth understanding of the modern SaaS business stack, including CRM, billing, HRIS, support, collaboration, and data systems

• Practical experience in building LLM- and agent-powered workflows

• Knowledge of AI use cases, limitations, and data handling guidelines

• Consultative and cross-functional ability to translate business challenges into effective automations

• Capability to measure impact and document processes

• Security-minded approach to automating sensitive business data

• Legally authorized to work in the United States

• Nice to have: experience with production AI agents or LLM-powered workflows

• Nice to have: RevOps/BizOps automation experience in a SaaS environment; familiarity with HubSpot, Stripe, and Rippling

• Nice to have: knowledge of SQL, data warehouses, and light data engineering

🏝️ Benefits

• Comprehensive health, dental, and vision insurance

• Generous paid time off and holiday schedule

• 401(k) retirement savings plan

• Opportunities for training and professional development

• Equity options