Ship AI products, not slide decks.

This internship puts you in charge of deciding what gets built. You will turn rough ideas into specifications an engineer can build from, keep the backlog honest about what matters next, and verify that what ships is what was agreed.

You will work on live, revenue-generating products running on our internal infrastructure, sitting directly with the people writing the code.

• Specification engineering — turn rough concepts into structured specs detailing the user problem, acceptance criteria and out-of-scope parameters.
• Backlog ownership — groom and prioritise Gitea issues to maintain clarity on upcoming milestones.
• User insights — aggregate user interviews, support tickets and feedback triage into a ranked feature list.
• Release governance — define "done" criteria for releases and execute pre-ship validation.
• Data analysis — leverage product metrics (activation, retention, subscription conversion) to drive roadmap arguments.

You write code that goes to production and gets used the same week. Our products run on our own infrastructure — Node.js and MongoDB behind nginx, Python crawlers feeding them, LLMs doing extraction and classification, and an Android app on top.

There is no ticket queue and no shadowing period. You take a feature, you build it, you watch it run, and you fix it when it misbehaves.

• Apply with your CV, and put a GitHub link or a live project in the Links field — for this role that matters more than the CV.
• If it fits, we email you a small build task: something real, scoped to a few hours, judged on how you structured it rather than how much you finished.
• Then one conversation walking through your code.

This is a selling role, not a marketing one. You will spend your day talking to people who might buy — finding them, reaching them, qualifying them, and moving them towards a quote.

You'll work two revenue lines: wholesale equipment and spare parts, where buyers are hospitals, factories, dealers and agri-businesses placing bulk orders; and subscriptions to our own AI products. Both are real revenue with real targets, and you will see exactly what your work brought in.

If you have never sold anything before, that is fine. What we cannot teach in two months is willingness to pick up the phone.

• Apply with your CV — that is the whole application.
• If your profile fits, we email you a short task: pick one of our equipment categories, name five specific businesses you think would buy from us with a line each on why, and write the exact first message you'd send one of them.
• Then we talk — part conversation, part short role-play of that first call. We're listening for how you handle a "no", not for a polished script.

We have products people would genuinely use, and almost no one has heard of them. That is your problem to solve.

You will own how we show up online: what gets posted, what gets written, and what any of it actually did to signups. This is a build-the-channel internship, not a schedule-someone-else's-posts internship — you decide the angle, make the thing, publish it, and read the numbers afterwards.

• Apply with your CV, and put links to anything you've made in the Links field — a page, a channel, a reel, a newsletter. For this role that matters more than the CV.
• If your profile fits, we email you a short task: look at one of our products, then send a two-week content plan and one finished sample you would actually publish — a written post, a carousel or a reel, whichever plays to your strength.
• Then we talk — mostly about why you chose that angle, and how you'd tell whether it worked.

You get two very different sales motions in one internship: subscription growth on our own AI products, and B2B outbound for our equipment supply business. Very few internships give you both, and both are measured on numbers you can point at afterwards.