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Skiftr is hiring several software engineers across seniority levels in Gentofte, Denmark. You will work on a product that maps the Nordic job market, matches people to surprising opportunities, and provides salary and career-path intelligence.
The team operates with a strong emphasis on ownership, quality, and AI-enabled development. Whether you are early in your career or more experienced, you’ll collaborate to shape architecture, product direction, and engineering culture while writing code
The job market is changing faster than people can navigate it. AI, automation and economic shifts are reshaping which skills matter, which roles exist, and where people can go next. But most people still navigate by job titles and guesswork.
We're building something to fix that.
Skiftr is career intelligence for the individual. We continuously map the Nordic labor market to understand what companies are hiring for, which skills are in demand, what roles pay, and how someone's existing experience can translate into opportunities they may never have considered.
Underneath the product is infrastructure we've built largely from scratch: systems that continuously collect and understand labor-market data, combined with AI that turns that data into useful recommendations for real people.
We're backed by EIFO and part of the Google for Startups Cloud Program. Our team includes people with backgrounds from McKinsey, BCG, Bain, Microsoft, Goldman Sachs, Novo Nordisk, BMW and Heidrick & Struggles.
The product is live. Demand is growing. We're expanding the engineering team because the problem is big, the opportunity is real, and there is a lot more we want to build.
We are currently 12 full time team members, across engineering, design and sales.
We're hiring several software engineers across seniority levels.
You might be early in your career and looking for a place where you'll learn unusually fast, with real responsibility, good feedback, and engineers who will challenge your thinking.
You might be experienced and want more ownership than you'd get in a larger company: larger parts of the system, technical decisions that matter, and the chance to help others become better.
Or you might be senior and want to shape architecture, product and engineering culture while still writing code every day.
We care less about your title or years of experience than how you think, how you build, and how much responsibility you want to take.
At Skiftr, everyone ships. If you build something, we expect you to understand it, improve it, and stay close to what happens after it reaches users.
This isn't a thin interface on top of an LLM API. A large part of the engineering challenge is taking an enormous, messy and constantly changing real-world dataset and turning it into something trustworthy enough for people to make important career decisions from.
If you want to solve real problems with real data, rather than only wiring APIs together, you'll find this interesting.
You don't need to be an expert in every part. If you're very good in one area and capable of becoming good in the others, we'd still like to hear from you.
We're a small team, which means engineers have a lot of autonomy.
Problems don't always arrive as perfectly specified tickets. We expect engineers to understand what they're building and why, work out a sensible path forward, ship it, see what happens, and take responsibility for the outcome.
We care about engineering quality, but we're pragmatic. Sometimes the right decision is to build something quickly and learn. Sometimes it's to stop and solve the underlying technical problem properly. Good engineering here means being able to tell the difference and being thoughtful about the trade-offs.
We're highly AI-native. We use AI heavily in development and invest in the best tools we can find. We think excellent engineers using excellent AI tools can build dramatically more than was possible a few years ago.
At the same time, using AI doesn't remove responsibility for the code. If you ship it, you should understand it and be comfortable standing behind it.
We're anti-slop. Speed matters, but so do code quality, maintainability and understanding.
We don't expect a ten-year CV. We expect curiosity, strong fundamentals, and evidence that you like building things.
You should want feedback, ask questions when you don't know something, and be comfortable being given real responsibility earlier than you might be elsewhere. You'll work alongside experienced engineers and be expected to learn quickly.
When you raise a PR, expect to walk more experienced engineers through the code, the decisions you made, the alternatives you considered and the problems you ran into.
We use AI heavily, but we want it to make you a better engineer, not replace your understanding of what you've built.
You'll take ownership of larger parts of the product and system, make technical decisions, identify problems before someone assigns them, and help other engineers become better.
You should be comfortable moving between product thinking, architecture and implementation.
Your title doesn't matter much to us. Your contribution does.
We have been able to get together the best people we know, in an attempt to build something that no one has built before, or been able to.
We do so, to challenge companies that make significant money, to keep the job market dark, and we do that with less resources and people.
The resources we do have, is from the backing of EIFO, Google and some of the best private investors around, that has built companies before, and put their trust in us succeeding.
We do not demand certain working hours, or measure these, but you will need to be comfortable to work around people who work significant hours in the pursuit to build what you, and they, own together.
You'll probably enjoy working here if:
You don't need to speak Danish.
You do need to be able to work physically with us in Gentofte, Denmark. We're a global team, but we believe engineering at this stage of Skiftr is best done with significant time together in the same room.
Most importantly: a hard technical problem attached to something that matters.
AI will change an enormous number of careers over the coming decade. We want to build the infrastructure that helps people understand where to go next.