Business Systems Engineer

Role overview Improve how a business operates by finding manual, repetitive work across functions and replacing it with reliable integrations, automation, and AI-enabled workflows. This cross-functional engineering role partners with department leaders to identify high-impact problems, build practical solutions, and establish safe, maintainable practices for using AI and automation.

Responsibilities - Learn how teams work, identify repetitive tasks, and prioritize automation opportunities by expected impact. - Connect business systems so information and work can move across teams without manual handoffs or duplicate entry. - Build AI and agent-based workflows for tasks such as summarizing, routing, reconciliation, drafting, and research, with appropriate safeguards. - Evaluate and introduce AI tools, and establish clear guidance for access and responsible data handling. - Add monitoring, error handling, security review, and documentation so automations remain reliable and maintainable. - Measure time saved and errors reduced; establish a prioritized automation backlog and deliver several end-to-end improvements during the first six months.

Requirements - At least five years building business-system automations or integrations in a related engineering or operations role, with evidence of measurable results. - Strong knowledge of APIs, webhooks, and an integration platform such as Zapier, Make, Workato, or n8n; coding ability in Python or JavaScript. - Familiarity with business software across CRM, billing, HR, support, collaboration, and data, and how information should flow between systems. - Hands-on experience creating LLM-powered or agent-based workflows and sound judgment about safe, appropriate use. - Consultative communication skills to understand business needs and translate them into dependable technical solutions. - Commitment to measuring impact and documenting durable solutions.

Nice to have - Production experience with AI agents or LLM workflows; SaaS business operations automation; familiarity with common CRM, billing, or HR tools; SQL or data engineering; and a security-conscious approach to sensitive data.

Benefits and work setup - Health, dental, and vision coverage; paid time off and holidays; a 401(k) plan; and professional development opportunities.