Full-timevia Arbeitnow

Senior Product Engineer

Orbital·London·Posted September 13, 2026·Updated
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About this role

Orbital is the AI platform for real estate legal work. Real estate shapes the world around us: our homes, our workplaces and our cultural landmarks. It’s the infrastructure that powers everyday life and is the world's largest asset class. Yet behind every single deal, real estate and legal teams work hard to navigate decades-old complexity; manually connecting documents, hidden obligations, geo-spatial context, and multiple parties into a path forward. We connect the legal and physical record, so that path is clearer than ever before. Our mission is to make real estate transactions faster, clearer, and less manual. Here, you'll be part of changing how the deals behind the largest asset class get transacted, and will help shape the future of real estate. A bit about us: 🚀 We’re building at the forefront of AI technology, without losing the deeply human expertise our clients depend on. 🏢 Orbital is built with former practising real estate lawyers and 250+ years of combined legal expertise. We're purpose-built for the complexity of real estate: accelerating due diligence, drafting and negotiation, and deal coordination with legal-grade precision. 💰 We've just raised a $60m Series B, led by Brighton Park Capital, to accelerate our global expansion – $75m raised to date. 🤝 We're trusted by 5,000+ real estate professionals, spanning UK Magic Circle and US Am Law 100 firms, to household names like M S. Leading firms like BCLP, Orrick, Goodwin, Womble Bond Dickinson and Clifford Chance rely on Orbital to remove the busywork, freeing legal and real estate teams to focus on sharp judgment, standout client service, and closing deals faster. 💡 Working at Orbital means joining a bold, ambitious team, with the trust to take ownership and make a real impact from day one. The role You'll build the tools that fix how the world's largest asset class changes hands. We're moving property transactions away from manual document checks toward an automated AI solution that thinks like a real estate lawyer. You won't just execute builds - you'll use your professional judgement to direct product development and shape the foundations of our next growth phase. The opportunity is real, and you'll have genuine influence over what we create. What You'll Be Doing Build and ship production software, turning ideas into reliable customer-facing features. Work closely with a small team of engineers to design and deliver new functionality. Use AI coding agents to generate, iterate and refine production-quality code. Work with a stack commonly including TypeScript, React, PostgreSQL and Python , reviewing and guiding code produced by AI agents. Contribute to technical design and implementation decisions across new features. Help improve engineering practices by adopting AI-assisted development and modern tooling . The Impact You'll Have Your work will help professionals and individuals understand property transactions before they incur massive legal fees. By building for where models are going, you'll contribute to a system that handles over 1 trillion tokens and aims to accelerate legal work by 70%. You're not just solving toy problems - you're fixing a £multi-billion global market that's currently stuck in archaic processes. Your technical decisions will directly determine how we scale from processing 200,000 transactions to transforming the entire industry. What We're Looking For A deep conviction that AI will reshape industries and a desire to build at that frontier. Evidence of reaching a high level of excellence in a professional, academic, or personal domain. A generalist mindset with the willingness to work across product, design, and AI boundaries. Experience building modern agentic systems or reasoning through complex ML products. A track record of working on products generating £millions in ARR with high growth. Rapid career progression - such as moving from junior to senior level in under five years. The ability to critique AI-generated output wit

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