About this role
Lead engineering at a profitable, funded proptech while the team is still small enough to shape. Want to set the technical direction for a growing team and still ship code yourself? How would you keep a small team shipping to production many times a day, with review and testing that catch problems before customers do, without every decision landing on your desk? Where would you draw the line between what an AI agent should suggest and what it can do on a property owner’s behalf? Sounds like you? Then you might be our next CTO!
A property owner with a portfolio of buildings has a practical question: which repairs belong in next year’s budget, and which can wait? At Proprty.ai, our models estimate the condition and remaining life of building components and the energy and CO2 effect of improving them. Our software turns those estimates into maintenance plans, and our AI agent, Tily, helps owners analyze their portfolios and take action! Our product went live in 2024 and is used by customers in Denmark, Norway and Germany. We reached profitability by the end of 2025 and raised DKK 21 million in April 2026, and we are not planning to stop there!
There is still so much we can do to make it even better, and you could help shape the future of building maintenance and how engineering is run at Proprty.ai . Product: TypeScript, React, and Next.js on Vercel, with Supabase (PostgreSQL, row-level security, storage). Data and models: Python and PySpark on Databricks (Azure, EU), Python model services, and LLM features on Azure OpenAI. We also run a customer API and an MCP server.
What you get to shape The team and the code. You'll lead our product engineering team, work closely with our data engineers and our Chief Data Science Officer, and keep building core features yourself. You might coach a developer through a tricky problem in the morning and ship a feature yourself that afternoon. You'll own engineering hiring as the team grows, from deciding which roles we need to choosing the people you want on the team. How we build and ship. You’ll own the platform’s architecture and how we test and release. We release to production many times a day. Your job is to keep that pace while making every release reliable and secure. When an urgent customer request competes with longer-term platform work, you’ll make the call and explain what comes first and why. Shape what Tily can do next.
Our data scientists build models for building condition, remaining life, cost, and energy across several European markets. Together with our Chief Data Science Officer, you'll get those models in front of customers, decide what Tily may do on an owner's behalf, and use feedback from property owners, Sales, and Customer Success to choose the next problems to solve. Change how we use AI ourselves. Our engineers build with Claude Code and Cursor, AI agents review every pull request in our CI/CD pipeline, and agents take on routine work end to end so the team can ship faster. We keep looking for new ways AI can raise our pace, and you'll lead that.
We talk a lot (in a good way). When a problem gets tricky, we pull up a chair and pair on it. We like having a laugh while we figure things out.
What you’ll bring?
You've been CTO or head of engineering at a startup or scale-up while the product, the team, and the rules were still taking shape, and you can show what changed because you were there. You know when to open a pull request yourself, when to let another engineer make the call, and which shortcut will come back to bite you two releases from now. You bring curiosity about our industry, our customers' problems, and the business acumen to understand how our product delivers business value, so that you can help facilitate features that drive outcomes and make our users' lives easier.
We’re AI-first (the name’s a bit of a giveaway). If you’ve built an agent or shipped an AI feature, we’d love to hear what happened after the demo. What did customers trust it to do, and where did they want the controls back? You’ll get to make those calls with Tily and figure out where AI helps our own engineers ship better software. The core of what we consider for a candidate You’ve led an engineering team, coached developers, and hired people to join it. You’re keen to build AI agents that customers can put to work and to explore where AI makes your own team more effective.
You still build full-stack features with React, TypeScript, and SQL. You can take a feature from technical design through thoughtful user experience to release, and measure what happens when customers get their hands on it. Fluent in English Experience we’d love to hear about Taking an engineering team from a startup to a scale-up phase, understanding how and when to mature processes as the team scales, and how that looks different in this new AI era. Shipping an AI agent or feature into production.
We’re especially curious about what you changed after people started using it. How you’ve spoken with customers and industry experts to help ensure we’re on the forefront of solving the right problems in our platform Your perspective on the role of a CTO as a thought leader. Working with PostgreSQL or Next.js, or building products for real estate or proptech. Where we work We spend 4 days a week together in our office near Rådhuspladsen. You’ll need to be based in the Copenhagen area, as we can’t offer relocation or visa sponsorship for this role.
New to proptech? That’s fine. If you’ve led engineers and still enjoy being one, we’d love to hear from you. Questions? Reach out to Casper Høgh at [email protected] , who helps us land the right human for the job Our hiring process Intro call with Casper Høgh – We’ll talk about your background, what you want from your next CTO role, and any questions you have about proprty.ai . In-person interview – Meet us at our Copenhagen office for a small demo and talk through the team, the decisions you’d own, and how you like to lead while staying hands-on.
Case interview – Work through an engineering scenario with us. We want to understand what you’d prioritize, which trade-offs you see, and why. Board interview - Meet with one of our board members. Get their perspective on our journey and talk them through how you would help us in our next phase of growth. Offer – If we both see a fit, we’ll talk through the offer and next steps together. TL;DR Want to get in early with a great team? Love leading engineers and still writing code? Apply now to lead our dev team and make building maintenance smarter and more sustainable with AI.