AI Marketing Engineer
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About the role
Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world's best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We've scaled to $100M+ in ARR , with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you're driven by impact, pace, and raising the bar. This is the place. We're looking for an AI Marketing Engineer to join our marketing team in NY or SF. This role sits at the intersection of marketing craft and AI engineering, working hand-in-hand with leaders across brand, product marketing, revenue marketing, and marketing ops. Your job is to identify bottlenecks in our marketing machine and reimagine those workflows with AI agents. You understand how marketing teams think and what they care about, which means you can design AI systems that teams actually adopt and trust. You're just as comfortable reading a competitive battle card as you are building the agent that generates one. You are energized by turning slow, manual, high-touch workflows into fast, reliable, low-touch systems and you know how to do it with frontier models.