Lovable · Go-to-market · Staff+ · Posted 2026-08-14
Finance & BizOps, Strategic Partnerships
Lovable · San Francisco
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TL;DR: Be the strategic finance partner to Lovable's Partnerships organization. You will own the financial architecture behind every strategic alliance: hyperscalers, LLM providers, and the broader AI ecosystem. You’ll structure deals, price partnerships, build the operational workflows, and drive accountability through performance measurement. This is a high-ownership, high-visibility role where your analysis directly shapes which partnerships Lovable enters, how they're structured, and whether they deliver.
Why Lovable?
Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.
We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.
Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.
What We’re Looking For
Partnership deal architect: You have deep experience structuring complex technology partnerships such as usage-based pricing, compute commit deals, revenue shares, referral and reseller programs, co-sell motions, and first-party product integrations. You can take an ambiguous partner opportunity and translate it into a decision-ready business case with clear assumptions, scenario analyses, and quantified tradeoffs. You've sat across the table from hyperscaler and platform partnership teams and understand how these deals actually get done.
Deal economics modeler: You build models that leadership uses to make consequential decisions: partnership P&Ls, deal pricing frameworks, margin and compute cost analyses, and payback curves. You can evaluate a partnership not just on headline revenue but on incrementality, margin impact, and long-term strategic value. You communicate tradeoffs with clarity and confidence, including when the numbers don't support the deal.
Deal operator & governance designer: You build the systems that make partnerships work at scale — contract-to-cash workflows, partner billing and revenue share calculations, deal approval policies, attribution frameworks, and post-signature governance. You see this operational infrastructure as the difference between partnerships that compound value and partnerships that slowly die. You design processes that are rigorous enough to maintain financial discipline and light enough to not slow down a fast-moving deals team.
Technical and analytical: Strong analytical skills, with expert Excel modeling skills as table stakes. Comfortable with data (SQL, HEX, BI tools, or equivalent). You use AI tools and agents to automate work and move faster. Preference for technical degrees or deep technical exposure.
High-slope learner: You learn faster than anyone around you, take ownership immediately, and thrive in low-structure environments. You go from 0→1 and then 1→10.
Experience: 8+ years of relevant experience. Strong candidates have a foundation in investment banking, private equity, venture capital, or management consulting, combined with operational experience in strategic finance, partnerships finance, or deal operations at a high-growth AI or technology company. Dire …
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