Senior Full Stack Product Engineer

Who we areAt Get Ground, our mission is simple: to make property investment safer, faster, and more accessible for everyone. We believe AI can reshape the journey end to end - not just improving single steps, but reimagining the entire experience of property investing. The result will be a future of buy-to-let that is radically different to how we know it by disrupting a 1.7 trillion UK asset class.

Since 2018, we’ve been building an all-in-one property investment platform that supports investors from opportunity analysis and company formation through to financing, accounting and portfolio management. By bringing data, software and specialist services into one experience, we make property investing simpler, clearer and more cost-effective. Today, more than 30,000 investors across 70 countries use Get Ground, with over 2bn of assets managed through the platform.

We’re now entering our next phase: developing increasingly intelligent tools for individual investors, turning our platform into the operating system for institutional property investment, and taking Get Ground into new international Markets.

What you’ll do
• Take problems, not tickets. You’ll work with product, design, and other engineers tochart a path forward on ambiguous challenges. We don’t just deliver tickets, we solve problems.
• Build across the property-investment lifecycle. Help investors decide what to buy,understand where to invest and run their portfolios. Whether you’re building AI-powered tools to model investment opportunities, developing integrations for institutional clients, or simplifying complex journeys across the platform, you’ll work across the stack, following the problem wherever it leads.
• Release early, release often, adjust course. We optimise for getting value into ourusers’ hands as quickly as possible. Ship something real, learn from how it’s used,and iterate. The goal is always to deliver meaningful impact for the people relying onour platform.
• Be deliberate about trade-offs. Every startup accumulates tech debt. The goodones do it on purpose. You’ll know when to cut a corner to hit a goal and when toinvest in doing it properly and you’ll be transparent about which you’re doing.
• Communicate like it’s part of the job, because it is. Flag blockers before they become problems. Share context without being asked. Write things down. In a teamthis size, information flow is everything.
• Build AI with AI. AI is fundamental in what we build and how we work. You’ll use AItools to multiply your output and stay focused on the creative, high-leverage work.

We don’t want AI slop and nor use AI for the sake of AI but we understand howimpactful it can be and want people who lean in.
• Talk to customers. You’ll regularly interface with the people using what you build.

Understanding their workflows and pain points isn’t a PM’s job. It’s everyone’s job.

What you bring
• Strong engineering fundamentals. We move fast but we don’t ship rubbish. Youwrite clean, maintainable code and you care about getting the details right, from data modelling to error handling to deployment.
• A product mindset. You think about what you’re building and why. You understand that engineering exists to serve the business and the user, and you’re comfortable making decisions that balance technical purity with commercial reality.
• Entrepreneurial drive. You’ve backed ideas before and driven them forward whether that’s at a startup, a side project, or by championing something internally. You don’twait for permission to make things better.
• Full stack capability. Comfortable working across the stack. We use Golang on ourbackend, React on the frontend, Typescript extensively, and run our infra on GCP.You should be confident in picking up whatever’s needed.
• Active communicator. You surface problems early, share context freely, and don’tdisappear into a hole for days. You write clearly and you’re comfortable with asynccommunication.
• Comfortable with ambiguity. You don’t need a fully specified ticket to start making progress. You’re used to figuring things out, asking the right questions, and making reasonable bets.

Desirable experience
• Experience building AI-native…