Cto Jobs

Fifth Dimension is the most prominent AI company in real estate in the world, bringing vibe working to document-heavy industries 🌈. We work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions. We’re a London, New York and Singapore based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise (and spice 🌶️): Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups. At Fifth Dimension, we’re demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don’t Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement. It’s 9 AM on a Monday. You’ve already got a couple of AI-generated PRs from the weekend open for review - experiments you kicked off with Claude Code on Friday that ran overnight. By 10:30, the reviews are in and you’re iterating. By lunch, one feature is in staging with tests. After a quick review with a staff engineer who raises an edge case you hadn’t considered, you ship v2 by 3 PM. By the end of day, real customers are using it—and you’re already looking at the eval results to figure out what v3 needs. On Tuesday, you sit with one of our Solutions Engineers and a Customer Success Manager to understand why a major asset manager’s lease analysis is hitting a wall. By Wednesday, you’re pairing with a principal engineer to redesign the approach - they bring deep knowledge of how commercial real estate documents actually work, you bring the speed to prototype three different solutions in Claude Code before lunch. You run evals against your test suite, pick the winner, and ship it. On Thursday, you’re with the PM refining the intelligence platform’s UI based on what the usage data told you. On Friday, you demo everything you shipped that week. It’s more than most teams ship in a sprint. That’s a normal week here. And next month, you might be doing it from our New York office, or from Singapore. You’re an AI-first engineer. While others debate whether AI tools are ready, you’ve been shipping with them for months, maybe years. Claude Code and Codex aren’t novelties to you; they’re how you work. You’re outcome-obsessed and customer-obsessed: you don’t just build features, you solve problems for real people and measure whether it actually worked. You’ve already figured out that the combination of strong fundamentals, AI-augmented development, and relentless focus on customer outcomes lets you move at a pace that surprises people. You might be early in your career by the calendar, but not in output. You’ve built and shipped things, side projects, open-source contributions, startup experiments, freelance work, that demonstrate you can go from idea to production. You care about quality, but you know that shipping fast and measuring is how you learn what quality actually means for users. You’re not intimidated by working alongside staff and principal-level engineers. You know you have things to learn from them—deep architectural thinking, domain expertise, battle scars from systems at scale. But you also know you have something to teach: how to wield AI tools to ship 10x faster without cutting corners. That exchange excites you. You experiment compulsively. You measure obsessively. You learn fast and apply what you’ve learned immediately. You’d rather ship something imperfect and iterate than perfect something nobody’s using. Reporting to our CTO Chen, you’ll be our first early career AI engineering hire—and that means you’ll help define what AI-first engineering looks like at 5D. You’ll work alongside staff and principal-level engineers who’ll stretch your architectural and domain thinking, while you push the team’s velocity and AI tooling practices forward. You’ll own real features end-to-end, shipping to enterprise customers.