AI Native Product Engineer

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!

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