AI-Driven BizOps Engineer – Remote

Mui

Paris

Remote

EUR 120,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

100% remote work
33 days paid time off
Annual retreats
Hardware budget

Job summary

MUI is seeking a hands-on leader to act as a modern CIO for business systems, applying TypeScript, SQL, and AI to optimize internal operations. You will build zero-defect data models, automate workflows, and connect CRM, billing, and analytics across Finance, GTM, People, and Product.

You’ll map end-to-end processes, implement AI agents and low-code integrations, and drive velocity with Lean principles—all while operating with high autonomy in a fully remote setup.

Qualifications

  • 4+ years of professional software engineering experience with at least 2+ years building internal tools or data pipelines.
  • Strong proficiency in TypeScript and SQL for rapid internal tool development.
  • Experience with AI workflows, LLM agents, and low-code orchestration.
  • Hands-on experience integrating major SaaS ecosystems (CRM/ERP) and data sources.

Responsibilities

  • Architect zero-defect data models and AI-driven internal tools across the org.
  • Map cross-functional workflows and eliminate operational bottlenecks using Lean principles.
  • Build data pipelines, dashboards, and analytics to drive strategic decisions.
  • Lead technical execution for GTM, Finance, People, and Product through automation.

Skills

TypeScript
SQL
AI workflows
Workflow automation
Data pipelines
Lean principles
Cross-functional work

Tools

Salesforce/HubSpot
Stripe
NetSuite/Xero
Segment
GitHub/npm APIs
Zapier
Make
Pipedream
n8n

Job description

MUI is seeking a hands-on leader to act as a modern CIO for business systems, applying TypeScript, SQL, and AI to optimize internal operations. You will build zero-defect data models, automate workflows, and connect CRM, billing, and analytics across Finance, GTM, People, and Product.

You’ll map end-to-end processes, implement AI agents and low-code integrations, and drive velocity with Lean principles—all while operating with high autonomy in a fully remote setup.

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