About the role
🚀 We’re on a mission to make real estate transactions smarter, faster, and friction-free. 🏢 Real estate is the world’s largest asset class , yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. 🤖 That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision. 💰 We’ve just raised a $60m Series B to accelerate our UK/US expansion. 🤝 We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. 💡 Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. Role Overview 🔎 We're looking to speak to frontend heavy, senior fullstack engineers, as we've launched the industry’s first legal AI Agent and have seen phenomenal growth in both revenue and usage in the last 18 months. Orbital Copilot is a new product which is delivering much needed automation in Real Estate transactions across the country and internationally, with a view to transforming the way property is transacted. We have a successful existing product which helps real estate professionals extract key information & create reports from legal documents. We’re evolving this product to add further value to our user base. With the recent release of many Large Language Models (LLMs), such as OpenAI’s GPT-5 and o3, we’ve continued to adopt bleeding edge frontier models. This is an opportunity for someone who is passionate about learning how to utilise this in production use cases. You’ll own the end-to-end design and development of key features of our web application along with the underlying services that support it. You’ll be joining a small, dynamic and fast-paced team with a focus on quality, usability and impact. You’ll be involved in every stage of the development lifecycle; from discovery and design, through implementation to deployment, maintenance and continuous improvement. You will be supported by a cross-functional, collaborative and growing team in delivering an impactful product, initially to lawyers and then to a wider set of B2B customers. You’ll get a chance to: 👩‍💻 👨‍💻 Take ownership of key technology decisions and lay the groundwork for the company’s ambitious growth plans Influence how we structure our frontend architecture to optimise for scale, speed of iteration and quality Shape product direction and influence beyond the technical implementation into how we go about solving real customer pain Collaborate with a cross functional team (an AI product manager, legal domain experts , AI engineers and software engineers) to ideate, experiment, prototype and ship your (and the teams ideas) into the hands of the customer Champion quality and reuse across the product and the codebase Collaborate with individuals across the business to ensure the features you develop have real business impact for customers and actually move key business metrics as we design and build a brand new product that doesn't yet exist in the market Participate in architecture and code reviews to continuously improve the quality, maintainability, security and scalability of our applications You should apply if you: ✍️ Have a strong background in frontend development - ideally React, TypeScript and/or Next.js Care about solving the technically challenging problems we’re tackling for our customers Value shipping early and often to get customer feedback and then iterating quickly to improve the product Have excellent verbal and written communication skills in English Have a proven track record of building user-facing products and have the ability to put yourself in the shoes of the customer Have proven experience delivering large, complex software engineering systems It would also be nice if you have: Have experience with Backend development - ideally Python Experience working with LLM’s and OpenAI's API in particular Have worked as a Product Engineer or worn a product hat in the past Have worked in small, fast paced environments with a high degree of ownership and autonomy Proven experience of driving and using modern dev practices like BDD, TDD, 12 Factor, CI/CD
