AI Builder

About the role

The short version Plenty of companies are still running AI pilots. We moved past that a while ago: AI agents and human experts create, localise, check and refresh content for global B2B brands every day, across markets and languages. The next question is a harder one: not how to make content, but which content a client should make at all. That's where you come in. As an AI Builder, you work on both sides of that. About half your time goes to bringing new clients live. The rest goes to building the intelligence that tells each client what to make next: where competitors outrank them, which pages are losing ground and need a refresh, which topics are an opening nobody has claimed yet, and whether they show up when people ask ChatGPT or Google instead of searching. We've built our own CRM; our teams work with agents that do everything from setting up a tailor-made demo for a prospect to preparing sales calls and routing client feedback to the right person, and people across the company build their own tools. If you want to do serious work with AI, this is a good place for it. Everyone here is already building. What Contentoo does Most content tools make the client the editor. Most agencies make them the project manager. We'd rather make them the approver: they brief, review, and approve, and we run everything in between, inside their own workflow and tools. That makes us a product with a large service layer, sitting where SaaS, service and AI overlap. None of that works without good foundations, so that's where we start. Before any agent runs, we capture what makes a client's content theirs: strategy, tone, terminology, compliance rules and hero pieces, per language and market, confirmed by the client. Every agent, expert and signal draws on that brand context. Skip it, and you get generic content, faster. There's no shortage of software that tells a client what to write. The difference is that we get those foundations right first and then actually do the work. We've been doing that for ten years: 300+ brands, 300,000+ completed projects and 49 languages. What you'll do A suite of Workflows already runs in production, from localisation and creation to brand checks and content refresh. Each one combines AI agents with human experts and works from the client's brand context. In practice, your week splits two ways. Half of it is implementation: getting new clients live, finding out where their situation is different from the last client's, and building the fix quickly, whether that's a new skill for their agent, a connection to their CMS, or a check only their market needs. Then you make that whole process faster and more automated on our side, so the next client goes live with less hand work. The other half is the layer on top, which we're building right now: brand intelligence. Today most marketing teams guess what to write next. We want every client to know. Their own search data shows which pages are slipping, and a page that slips already gets a one-click refresh. Competitor rankings show where others win the topics the client should own. Strategy gets drafted from search data in each market and confirmed by the client, so every piece has a reason to exist. And every week we ask ChatGPT, Gemini, and Google's AI to answer the questions their buyers ask, to see whether the client is named or a competitor is. Every expert fix and every client comment flows back into the brand context, so the platform gets better with each piece. What works for one client becomes a feature for all of them. And our own teams are clients too. Sales asks the CRM and the agents for a prospect's history before a call. Anyone in the company can ask Conny, our assistant on top of KIWI, our company knowledge base, how billing works or what a package includes. Product feedback from clients gets sorted and routed to the right owner by an agent. When one of those tools needs to get better, you build that too, with Claude Code, the Claude and GPT APIs, MCP

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