TL;DR: You'll be the analytical engine behind Lovable's fastest-moving finance decisions. Working directly with the team that built our financial infrastructure from scratch, you'll model vendor economics, build scenario analyses, reconcile messy data into clean insights, and give our leadership the numbers they need to move fast and move right. This is not a back-office role. You'll be in the room where the decisions happen.
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
In one sentence: Build the models, pull the data, and surface the insights that drive Lovable's most consequential financial decisions.
Own the analytical heavy lifting: Build and maintain financial models across vendor economics, unit cost attribution, scenario planning, and investment tradeoffs. You'll be the person who turns ambiguous data into something our team can act on.
Drive vendor and cost intelligence: We spend a significant portion of our operating expenses annually across LLM providers, cloud infrastructure, and SaaS tools. You'll model the commercial economics, track spend against commitments, and flag opportunities before they become problems.
Support strategic finance across the business: From headcount planning to revenue modeling to partnership economics, you'll provide analytical leverage wherever the highest-priority question is. One week it's an LLM cost attribution model. The next it's a pricing scenario for a new revenue stream. Context-switching is the job.
Reconcile the chaos: Lovable moves fast and the data doesn't always keep up. You'll dig into billing data, accounting records, and operational metrics to find the truth in the noise. Investigative rigor is non-negotiable.
Build for an AI-native function: We don't do things the old way. You'll use AI tools aggressively to accelerate your own work and help us design the finance function of the future.
1-3 years of experience: In investment banking, management consulting, private equity, or operational finance at a high-growth company. You’ve built strong analytical foundations and you’re ready to apply them to building something real.
Exceptional modeler: You can build a financial model from a blank sheet and a messy data set. Excel and Google Sheets are second nature. SQL or BI tools (Hex, Looker, etc.) are a strong plus.
Comfortable in chaos: You don't freeze when the data is incomplete, the timeline is tight, and the question keeps changing. You've worked in environments where "figure it out" is the brief.
AI-native mindset: You use AI tools daily, not as a novelty but as core workflow. You're the person who finds a way to automate the tedious part before anyone asks you to.
Hungry, not entitled: You understand that in-house finance is not high finance. You're not the product here — the product is. You bring the rigor from your training but you're energized by getting your hands dirty, not by the prestige of where you sit.
Bonus points for: experience with SaaS or usage-based business models, exposure to cloud/LLM cost structures, or having built something yourself (side project, startup, Lovable app — anything that shows builder instinct).
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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