AI Native Product Engineer

About the role

At Brevo, we’re not just building a CRM. With our technology, we’re helping millions of organizations build lasting relationships with their customers. From emails and SMS to WhatsApp, Chat, and Marketing Automation, our tools are intuitive, powerful, and built to scale with every ambition. We give businesses a clear view of the customer journey, so they can focus on what matters: connection. As a certified B Corp, we’re proud to grow with purpose, committed to high standards of social and environmental impact, not just performance. Today, more than 500,000 businesses across 180 countries—from NGOs like Amnesty International to global brands like Carrefour, eBay, Louis Vuitton, and Michelin—trust Brevo to engage their audiences, cut through complexity, and deliver results. Our reliable technology and 75+ integrations help them create unparalleled customer experiences, without the usual tech headaches. We recently exceeded 200m ARR and reached a major milestone by becoming a Unicorn, backed by strong growth and global expansion - and we’re just getting started! The role: Join us as a Product Engineer to build a new product within Brevo called Brevo OS. Brevo OS is a startup inside Brevo: a team of six, a product we started from an empty repository earlier this year, and the feel of a small company within the big one. The product works, the first customer deployments are beginning, and a great deal is still undecided — so the people who join us now will shape what it becomes. It's an AI-native operating system for small businesses: a system of agents that helps a solopreneur, a hair salon or a building contractor run their whole business — clients, contracts and signature, invoicing, their website, their inbox. Modules get added the way an ERP grows, except the whole thing is built around agents from the ground up. Your Impact at Brevo: Turn a very high level business need into something real : understand the function, define the users, the smallest useful version, the entities and their lifecycles, the permissions and constraints that matter, and what to build versus integrate Decide which of our platform primitives to extend rather than reinvent, then build it, ship it, watch it in production, and improve it Work across product management, frontend, backend, data modelling, infrastructure, and AI. Everyone arrived with a specialism and nobody is confined to theirs; product thinking and business analysis is part of everyone’s job Build almost entirely through coding agents: Claude Code is the workflow, not a pilot running alongside it, for implementation, codebase exploration, documentation, debugging, and operations Decompose problems into work an agent can actually execute, give it context without over-constraining it, and tell the difference between correct and merely plausible Verify with tests and instrumentation, not vibes, and keep a large generated codebase coherent Work day to day in TypeScript, Kubernetes, and agentic frameworks Who you are: Around 2-5 years of professional engineering experience. We care more about your slope than your years. Real depth in something, and no attachment to staying there. Bring what you're genuinely strong at — the team compounds those — and expect to spend a good part of your time well outside it. Coding agents already central to how you work. Claude Code, Cursor, Codex, something equivalent. Not "I've generated the Unit Tests" — real delegation of substantial work, and real review of what comes back. Scepticism about generated output is a feature of this job, not a problem. Evidence you've owned a problem, not just implemented a ticket — something you helped define, drove, shipped and then lived with in production. Product questions are your questions too. At your best when the brief is one sentence and the plan is still moving. We're learning what this product is, so priorities change often. The mission doesn't. English. We're an international team working ac

Skills