# Senior Business Systems Engineer, AI & Automation at Inspiren

- Company: Inspiren
- What the company does: Transform senior care with Inspiren's AI ecosystem. Reduce falls by 68%, increase occupancy 22%, and improve care planning. Trusted by leading communities. Backed by Insight.
- Company website: https://www.inspiren.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote, United States
- Work setup: Remote
- Pay: $140K to $175K base salary per year (USD)
- Posted: 2026-07-30
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/inspiren/d89aa25e-226b-4a13-9cb9-4eb4118648eb
- Page: https://www.1752.vc/careers/jobs/inspiren-senior-business-systems-engineer-ai-and-automation/

## About the role

Inspiren is building one of the most ambitious AI-native companies in digital health, and we are looking for someone to help us work like it. As our Senior Business Systems Engineer, AI & Automation, you will own two halves of the same problem: the core business systems Inspiren runs on: Salesforce and NetSuite, and the intelligent automation layered on top of them.

## What they're looking for

- Experience: 4+ years in business systems, technical operations, revenue operations, workflow automation, or a comparable systems role at a tech company, with clear accountability for measurable outcomes, not just delivering projects
- Quote-to-cash fluency: you understand how an opportunity becomes an order, an invoice, and recognized revenue, and where that chain typically breaks between CRM and ERP
- Data hygiene and migration chops: you have cleaned up a messy org — bulk data operations, deduplication, ownership reassignment, mass updates — and you do it carefully, with backups and a rollback path
- Specialist-level agentic workflow knowledge: you have built multi-step systems with real integrations, conditional logic, and error handling using Claude, Zapier, n8n, Slack, Linear, Notion, and Salesforce. You know their capabilities and limits intimately
- Prompt engineering fluency: you design and iterate on system prompts and agent configurations to get reliable, predictable behavior from LLMs, and you have a methodology for evaluating agent outputs and catching failure modes before they reach production
- Technical fluency, whether from a software engineering background or built through hands-on practice: you read API docs, understand data structures and payloads, debug integration failures, and pick up unfamiliar platforms without hand-holding

Tags: IT & Security