AI Ops Engineer - Finance job opportunity at Lovable.



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Lovable AI Ops Engineer - Finance
Experience: General
Pattern: full-time
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Salary:
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FBOS

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degreeBachelor's (B.Sc.)
loacation Stockholm, Sweden
loacation Stockholm....Sweden

TL;DR — You'll make sure no one at Lovable spends time on anything AI can do. We're defining how AI-native companies operate internally, across Product, GTM, and G&A. You'll own the systems that let a 200-person team move like a 2,000-person company: workflow automations, internal AI tools, data enrichment pipelines. You'll use Lovable itself to build much of this. This role is part of Project Automate Lovable, working closely with our AI Operations & Automation function and FBOS team. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for Shipped production automations at a company: You've built workflow systems at scale that ran without you. Actual business-critical automations used by teams. Engineering brain, modern toolkit: You understand how systems actually work (APIs, databases, architecture) and can review code confidently. You move fast by choosing the right tool for the job: AI agents (Cursor, Claude Code etc) when they're faster, no-code (n8n, Lovable itself, Clay, etc.) when it fits, raw code when it's needed. Python, TypeScript, SQL etc. AI tool obsessed: You're always testing the latest models, apps, and workflows before anyone else. You've deployed internal AI tools (Claude/ChatGPT with custom contexts, AI agents, MCPs, etc.) at a company and you're constantly experimenting with new ones. Can't unsee inefficiency: You see the whole company as one machine. Once you spot a broken process, you can't leave it alone. High agency: You don't wait for permission. You find the bottleneck, build the fix, and ship it. Bonus: Ex-founder, worked at AI-native startup, or built automations across multiple business functions. What you’ll do Own internal AI systems that make Lovable run faster than it should. Define how AI-native companies operate: Help build the playbook. What we learn here scales to every company using Lovable. Build internal tools and workflows: Using Lovable, AI agents, no-code, raw code—whatever gets the job done fastest. Lovable on Lovable first, always. Deploy AI agent armies: Claude/ChatGPT with MCPs configured so every teammate has AI working for them, not the other way around. Squeeze value from our stack: Make the AI features in Slack, Linear, Notion, Ashby, etc. actually deliver. Level up the team: Turn everyone at Lovable into AI power users. Document what works. Scale it. Own it end-to-end: You build it, you maintain it, you improve it. How we hire Fill in a short form, then send a quick Loom. Intro yourself and the coolest thing you've built. Complete a take-home: Build something that solves a real problem and shows how you think. Use Lovable or whatever gets the job done. Technical interview: Walk us through how you think about systems and automation. Cross-functional interviews: Meet your customers, the various cross-functional teammates whose work you will empower. About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.

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