The posting
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.
What we're looking for
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.
About the team
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.
About the role
- Lead, coach, and grow the team as a player-coach, while still writing code on core features
- Own how we build and ship. Our goal is to release several times a week without letting quality, reliability, or security slip
- Guide the platform's technical direction, including architecture and code quality
- Design and build AI agents and AI features into the product, and work with Data Science to take models from prototype to production
- Help turn input from customers, Sales and Customer Success into features the team can build
- Improve the team's AI tools and workflows (we use Cursor and Perplexity) so everyone can build faste
About you
- You've led an engineering team before at a startup or scale-up, including coaching and hiring developers
- You have strong hands-on full-stack experience with React, TypeScript and SQL
- You've built (or have strong interest in) AI agents and AI features in production
- You take full ownership from design to implementation, and you lead by doing
- You live in the Copenhagen area (we're in the office 4 days a week)
- Bonus points if you've worked with Postgres and Next.js, or in real estate or proptech
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!
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.
For more information or questions please contact us at [email protected]
Perks and benefits
This job comes with several perks and benefits
Near public transit
Near public transit
Paid holiday
Paid holiday
Work life balance
Work life balance
Flexible working hours
Flexible working hours
Social gatherings
Social gatherings
Maternity / paternity leave
Maternity / paternity leave
See all 9 benefits
Working at
proprty.ai
See company profile
proprty.ai is building a service to help Danish property managers leverage machine learning technology to create better condition assessments and maintenance plans. The cost of maintaining the Danish property mass is growing fast, and property managers are struggling to keep up with maintenance and regulatory responsibilities. This is not only hurting the property managers, but also the people using and living in the buildings. The challenge to live up to the EU Taxonomy for Sustainable Activities, is made harder, by not having the tools nor data to make the right strategic choices when planning and executing maintenance. With our service we aim to create property condition assessment and maintenance plans faster and more accurately than what is possible today. Using machine learning algorithms trained on millions of m2 worth of data, we can provide property managers with data to make the right decisions, when it comes to spending resources on maintenance. That way they can cut costs, improve property conditions and push the property mass towards a sustainable future. We're creating an AI powered web platform, that allows property managers to create condition assessments and maintenance plans in a fraction of the time they're using today, by mixing output from our machine learning models with boots on the ground input. It's not only faster. It provides high quality data instead of subjective information. At proprty.ai we've already signed partnerships with 18% of the Danish residential property market. We have a very real problem to solve, and a strong team to do it.
Read more about proprty.ai
