Partner with business leaders to find high-value automation - embed with teams across the company, map how their work actually flows, and prioritize what to automate for the biggest impact.

Build cross-functional automations and integrations - connect the business stack (e.g., HubSpot, Stripe, Rippling, Google Workspace, Jira, support tooling, data tools) so work moves between systems without manual handoffs or copy-paste.

Design and ship AI / agentic workflows - use LLMs and agentic tooling to automate work that used to need a person: summarizing, routing, data entry, reconciliation, drafting, and research - with sensible guardrails.

Drive healthy AI adoption across the company - evaluate, pilot, and roll out AI tools; help teams use them well; and set the guardrails (approved tools, access, and data-handling rules) so people get the upside without creating risk.

Make automations reliable and governed - build in monitoring, error handling, and data-handling review with security, so what you ship is trustworthy infrastructure, not fragile scripts.

Measure and document impact - quantify the hours saved and errors removed, and document what you build so it stays maintainable and others can extend it.

In your first 6 months, you'll

Run a discovery pass across the business lines and publish a prioritized automation backlog with estimated impact.

Ship two or three high-impact automations end to end - e.g., a finance reconciliation, a sales-to-finance handoff, or an AI support-triage workflow.

Roll out AI tooling with clear guardrails and publish a simple, usable AI-use guideline people actually follow.

Stand up a lightweight framework and standards for building, monitoring, and documenting automations so they scale beyond you.

Business Systems Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

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