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Mainloop in Barcelona is seeking a Product Owner/Manager who owns products end to end and sits with engineers to deliver real impact. The role uniquely combines business relationship management, backlog ownership, and strict acceptance criteria to ensure features are right and adopted in production.
You will own the product from discovery through to ongoing adoption, shaping the roadmap and prioritising work that actually moves outcomes for real customers across multiple countries.
Own the product, not the ticket queue — the business relationship, the backlog, acceptance, and whether the thing actually gets used.
Mainloop is an engineering company in Barcelona. We own what we build and we answer to ourselves. You get the interesting part of a new company, with a real customer and real products from day one.
What we build is the software that automates professional-services work — across roughly fifteen countries, for businesses drowning in administration: the forms, the approvals, the reconciliations, the spreadsheet somebody rebuilds every month. We work in two halves. One half goes into a business, finds out what really happens there, and proves fast whether an idea is worth having. The other half — your half — takes what is proven and owns it for years: gathers the needs, keeps building, gets it adopted, and makes sure it stays worth having. Most automation teams stop at the demo. The entire point of ours is that we do not.
We are not looking for a backlog administrator. If your last role was turning other people's decisions into tickets and running the ceremonies around them, this is a different job. Here you are the product manager and the product owner: there is no one above you writing the strategy for your products, and no one below you writing the stories. What should exist, in what order, and whether what shipped is right — that is yours.
A product arrives with a handover pack — already proven with its stakeholders by the first half of the team, already made ready for production. From day one it belongs to you and an engineer, as a pair, for its life. We keep one Product Owner seat, for the products big enough that the business relationship is a job on its own — most of our smaller products are run end to end by a Full-Stack Product Engineer, and part of your week is helping them with the product work that is hardest to do alone.
Here is the thing our industry has just learned, and it is the reason we are hiring you: AI made building fast, and it did not make building the right thing any more likely. Surveys now find most companies shipping faster with AI while almost none can point to the return. It has never been easier to run, at speed, in the wrong direction.
In a team like ours the engineers steer agents, and implementation is rarely the bottleneck. The bottleneck is deciding — what to build, for whom, in what order, and whether what shipped actually did what the business needed. That is not a job the agents do. It is not really a job most engineers want. It is this job, and in an AI-native team it is a more senior, more consequential job than the same title has ever been — because every decision you write down gets built, quickly, exactly as you wrote it.
What stays yours, permanently:
You are the first. That is not a gap in the org chart — it is the offer.
How product ownership works in an AI-native team is a genuinely open question in our industry right now, and the honest answer is that nobody's playbook fits yet. Ours will be written here, over your first year, by you and the Head of Engineering together: how needs become specs, how acceptance works when agents build, how adoption gets measured, how many products one pair can carry. The POs we hire after you will be onboarded onto the way you built.
If you have ever read a process document and thought I could have written this better — this is the job where you get to.
We are an AI-native team, genuinely — not a team that added a Copilot licence. Everyone gets their own Claude Max subscription and the tooling to use it properly, and that includes you. The product people we admire in this market prototype with AI before they ask anyone to build: a rough working version of an idea, made in an afternoon, shown to a stakeholder — because a prototype communicates intent better than any document, and because it kills bad ideas cheaply. You will learn to do that here if you cannot already, and you will learn what makes a specification one an agent builds correctly the first time. That skill is being repriced upward across our entire industry, and this is one of very few jobs where you would practise it daily on products people depend on.
Every product starts from the same scaffold, and it is the same in most of our repos — deliberately. For you that is the whole point: every product in your portfolio has the same shape, so carrying several does not mean holding several different worlds in your head. It also means the handover pack you inherit from the first half of the team actually tells you how the thing works — because it is built the way everything else is built.
You do not need to arrive knowing our tooling, and this ad deliberately lists no technologies. You need to be technical enough to hold your own in an engineering discussion, and to read what an agent produced closely enough to judge it. The rest — our architecture, our patterns, our method — is what we train you on.
We do not expect you to absorb the cost of relocating, and we would rather say what we cover than leave you to ask.
Three things here are worth more than they look on an offer comparison, particularly against a US one:
One bar sits above everything else, so here it is plainly. You can own a product end to end — the need, the decision, the specification, the acceptance, the outcome — and you are technical enough to contribute to an engineering discussion and to judge what an AI agent built. You do not need to code for a living. You do need to have no fear of the inside of the machine. If you read that and thought this is the job I want, keep reading.
Read the rest as a description of the person you will be here, not a checklist you have to arrive with. Almost nobody ticks all of it on day one, and we would rather hire the judgement and train the rest.
We do not care what you studied, and a Scrum certification is neither required nor an advantage. We care what you have owned, what happened to it, and whether you can talk us through the decisions in it.
Mainloop · Barcelona. Apply with a product you have owned and a paragraph about the best "no" you ever said — what was asked, why you declined, and what happened next.
Over your first two to three years here you work through a defined body of knowledge — our architecture, the agentic build method, how to read a business process, and how to take something from a conversation to a working product a company depends on. When you can demonstrably run a project our way, you are awarded the certificate.
It is yours. It goes on your CV, and we intend to make it mean something in this market — a signal that the person holding it can go into a business and build production-grade software with AI agents, not just prompt their way to a demo. The entry-level work that is disappearing everywhere right now is the work these agents do. This is the job on the other side of that.