Operations Engineer, Mui

• High-agency & Cross-functional judgment: Self-directed problem solver who thrives in ambiguity and can prioritize among many opportunities. See Manager of one
• High conscientiousness & Detail rigor: Strong commitment to eventually reach no-defect execution; double-checks everything, maintains immaculate documentation, focuses on friction-free user experiences
• Modern business Tech Stack management (CIO/RevOps): Technical mastery over core SaaS ecosystems (Salesforce/HubSpot, Stripe, NetSuite/Xero, Segment, GitHub/npm APIs)
• Full-Stack engineering: Proficiency in TypeScript and SQL; can quickly build internal tools, scripts, and API integrations
• Systems & Process engineering (Lean/Systems thinking): Ability to map cross-functional workflows, spot operational bottlenecks, and apply Lean principles to eliminate non-value-added steps
• Data engineering & Analytics architecture: Track record of designing reliable data pipelines, maintaining zero-defect data models, and delivering actionable BI dashboards (Revenue, LTV, PLG telemetry). For example, ensures data & financial models match to the cent
• Workflow automation & AI agents: Hands-on experience with modern AI workflows (LLM APIs, agentic frameworks, function calling) alongside low-code orchestration engines (for example, Pipedream, Make, Zapier, n8n)
• 4+ years of professional software engineering experience, with at least 2+ years spent building internal tools, data pipelines, or cross-functional business automation
• Don't meet every requirement? Apply anyway! If this role excites you, we want to hear from you. We'd love for you to share the unique skills, passion, and experience you could bring to MUI

Desirable

• MUI is scaling, but traditional business operations have become a strong bottleneck to our growth
• The leadership team is spending too much time on manual, repetitive tasks, building spreadsheets, debugging ETL regressions, wiring SaaS tools together, firefighting operational issues, etc
• Rather than hiring a conventional IT team, we treat internal company operations as an engineering problem. We believe that applying systems thinking, modern software engineering, and AI automation directly to business operations will create immense leverage
• We are opening this role to act as a hands-on force multiplier across the organization—building zero-defect data models, automated internal tools, and AI-driven workflows across Finance, GTM (RevOps, Sales, Marketing), People, and Product
• Overall, both our open-source community and our premium products are growing fast. We need talented people to keep up with the demands of our exigent community!
• Function as a modern hands-on CIO / Head of business systems: Instead of managing large corporate budgets or enterprise governance, you will directly apply software engineering (TypeScript, SQL, AI frameworks) to real-world business systems
• Massive organizational leverage: You will step into cross-functional gaps to eliminate operational bottlenecks, saving hundreds of hours of leadership time and accelerating company velocity
• High-agency autonomy: Operating without a rigid backlog, you will systematically map MUI's cross-functional workflows using Lean principles, identify high-leverage opportunities, and build end-to-end technical solutions
• AI-first execution: You will be at the forefront of implementing AI agents, LLM tool integrations, and low-code orchestration engines to automate routine business tasks across every department
• Our products empower React developers to build awesome applications faster – we see millions of developers on MUI's docs every year, one million a month
• Internal systems architecture & management (Modern IT/CIO): Own, maintain, and connect the company's internal software stack—from CRM, billing, and Accounting platforms to internal databases and analytics dashboards
• AI & workflow automation engine: Identify, prototype, and build custom scripts (SQL, JavaScript), AI agents, low-code integrations (for example, Zapier, Make), etc. to eliminate manual tasks across People, Finance, Sales, Marketing, Product, and Operations
• GTM & RevOps technical execution: Partner with Sales and Marketing to streamline lead pipelines, customer data enrichment, conversion funnels, and customer-facing website updates
• Data Engineering & Operational analytics: Build and maintain data pipelines, operational dashboards, and data models to power strategic decision-making (for example, pricing model LTV analysis, product adoption telemetry, sales PO volumes, npm/GitHub ecosystem metrics, or OKRs progress)
• Process engineering & Systems optimization: Apply the five core Lean principles and systems analysis to map company workflows, identify operational or financial bottlenecks, and build technological solutions to resolve them
• Technical force multiplier for Leadership: Serve as a direct execution arm for executive leadership—stepping in to resolve unowned, cross-cutting technical issues across products, vendor platforms, or internal operations