AI-First Engineering Lead (Player‑Coach)

Cph Ai Hub; København; Hybrid; DKK 1,100,000 - 1,600,000; Full time

Job summary

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.

Qualifications

• 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

Responsibilities

• 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 faster

Skills

Leadership

React

TypeScript

SQL

AI agents

Full-stack

Cursor

Perplexity

Postgres

Next.js

Tools

Cursor

Perplexity

Postgres

Next.js

Job description

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.