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United States Digital Space LLC is seeking a highly autonomous engineer to join the AI-first backoffice platform. You will work from the Meister’s desk to observe real work, then build production-grade agents and pipelines that price real jobs and serve real customers.
The role emphasizes ownership, fast iteration, and direct interaction with skilled tradespeople and partners, with a focus on measurable impact and rapid learning in a dynamic environment.
The European trades are one of the least digitised industries left. Software
penetration sits under 15%, against roughly 70% in the US. The labour
productivity gap runs about 30%. Millions of skilled people spend their evenings
on paperwork instead of the craft they trained for — in the industry that has to
deliver the energy transition.
There is almost no incumbent software to displace. That is unusual, and it won't
last.
the company replaces the back office entirely rather than selling Meister another tool
to manage. In the last six months that went from a partner app and a dashboard
to around thirty AI agents in production - pricing real jobs, qualifying real
leads, running the operations of businesses whose payroll depends on it working.
These days building thirty agents is easy. Knowing which thirty is what's challenging.
That only comes from being in the Betrieb and talking to the Handwerker.
That's what this role is for.
You'll sit in Handwerksbetrieben - at the Meister's desk, in the van, on site, next to our team -
and watch how the work actually happens. Then you'll come back and build the
thing that fixes it, often multiple times on the same day.
our Meister by name, understand their P\&L, and notice the thing they've
stopped complaining about because they assume it can't be fixed.
screens, agent loops, data pipelines - whatever the problem needs.
real customers, and cost real money when they're wrong. Reliability,
evaluation, structured output, graceful failure.
here will hand you a spec, and waiting for one is how to fail in this
role.
untouched, leads answered before a competitor picks up. If the number didn't
move, it didn't work.
In July one of our Meister got an early build of the partner app, ahead of the
general rollout. He tested it between jobs and sent screenshots: from a calendar
appointment he could no longer jump into the project to pull the customer's
phone number. He had a reply in two minutes. Within the hour he'd also asked for
a navigation button - tap the address, go straight to maps.
Neither was news. Both were already being worked on before he hit send.
We aim to be fast, and close enough to the work that we've usually seen the problem before the person living it has to tell us.
You might be a great fit if you
unglamorous iteration afterwards. We don't count years; we look at what you
carried.
months. The curiosity compounds.
argument about abstractions.
because of something a user said.
electricians, and ask the question anyway.
the same time, and know which one applies.
Our stack, so you know what you're walking into:
We care that you're strong somewhere and unafraid everywhere else. If you've
never written Vue but you've shipped production systems and you learn fast, that
is fine - several of us hadn't either.
What we do look for:
German is helpful and you'll pick some up either way - our partners speak it all day. It isn't a requirement but definitely a nice to have. The the team works in English.*
Catalyst, noa, Owl Ventures and Heartfelt
do in two years, and who set the pace themselves
the company is the AI-first backoffice and growth engine that empowers skilled tradespeople to become entrepreneurs.
We support craftsmen in starting and scaling their businesses by providing a digital backoffice – from setup, company registration \& launch, to offer creation, invoicing, documentation, talent retention, and revenue growth tools.
the company is building the tech-first backbone to solve the labour productivity gap and create an abundance of craft entrepreneurs globally.
Since inception in 2023, we have raised €12M from leading venture