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proprty.ai in Copenhagen seeks a player-coach who loves leading engineers and still writes code. You’ll mentor a small team, ship features several times a week, and set the technical direction for the platform, including architecture and code quality.
You’ll design and build AI agents and AI features with data science to move models from prototype to production, turning customer input into valuable product enhancements while keeping quality, reliability and security top of mind.
A once-in-a-company opportunity to lead engineering early as the company scales!
At proprty.ai, we’re building domain-specific AI for data-driven building maintenance and portfolio planning. Our predictive models estimate the condition and remaining lifespan of building components, and we turn that into prioritised maintenance plans across entire portfolios. Our AI agent, Tily, can take action on users' behalf and help them run strategic analysis of their building portfolio, helping large property owners and managers maintain their buildings efficiently, cost-effectively and sustainably.
The product went live in 2024 and is already solving real problems for real people, with customers across Denmark, Norway, and Germany. 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.
We're looking for a player-coach who loves leading engineers and still wants to write code. You might coach a developer through a tricky problem in the morning and ship a feature yourself in the afternoon.
You've led an engineering team before at a startup or scale-up where the foundations were still being laid, and you know that in a small team, leadership means leading by doing. You care about shipping fast and shipping well.
We're an AI-first company (it's in our name). You've built AI agents and AI features into real products, and you're excited to push that further, both in what we build for customers and in how the team works.
We're a small but mighty crew of four engineers who love solving tricky problems together, working on-site in our office near Rådhuspladsen. We work closely with our data science team to bring machine learning models trained on millions of m² of building data into the product. We talk a lot (in a good way), pair up when things get tough, and keep the vibe light with plenty of jokes and good energy.
Even if you don't tick every box, we'd still love to hear from you if you're an experienced engineering leader who learns fast and loves building things!
Want to get in early with a great team? Love leading engineers and still writing code?