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!
Brevo is transforming all of its operations to become AI native : from customer support to RevOps, including both analytical and operational data consumption. The AI Ops team drives this transformation: it builds and operates AI agents, applications, and the associated tooling, in production.
We're looking for a software engineer who can accelerate the rollout of AI Ops initiatives: pragmatic, end-to-end autonomous (from agent code through to DevOps and deployment), and able to hold a whole-system view, not just their own piece of it.
Why join us ?
- A rare, AI-native playground: make a profitable scale-up's operations AI-native, with agents in production and visible weekly impact, backed by best-in-class tools (Claude, internal agentic tooling, dedicated observability) and an AI-assisted engineering culture.
- Real autonomy: define problems with business teams, own solutions through to production.
Your Impact at Brevo:
Design, build, and operate AI agents in production (multi-agent architecture: pre-processing, deterministic routing, SOP-driven agents).
Ship fast and often: daily iterations driven by real bugs and tickets from production, not by R&D.
Deploy and operate autonomously: CI/CD, sandbox/production environments, deployment scripts, monitoring and agent observability (Langfuse).
Design agent evaluations: evals, LLM-as-judge, fixed-context replay, regression tests.
Integrate internal data to build relevant context accurately and in a controlled way (context engineering).
Discover needs directly with business teams (CX, RevOps, Data), hand agents over in forward-deployed-engineer mode, and contribute to the architectural vision of the agent platform.
Who you are:
Whole-system thinker: you challenge architecture decisions and weigh the business impact of technical choices.
Comfortable with ambiguity: you turn a fuzzy problem into a shipped solution without a pre-written spec.
DevOps-fluent: own deployment end-to-end, infra-as-code, debug network environments (VPN, proxies).
Agents & LLMs : Hands-on experience shipping agents to production (frameworks such as ADK, LangChain, etc.), applied prompt engineering, evaluation.
Hands-on experience shipping agents to production (ADK, LangChain, or similar), with applied prompt engineering and evaluation.
You build with AI daily (Claude Code, Cursor, or equivalent) - not just building agents.
Fluent in French and English.
Nice to have:
ADK v2 (Google Agent Development Kit) and the A2A protocol.
Langfuse or an equivalent LLM observability tool.
LLM cost optimization at scale (caching, routing, model selection).
Our candidate journey:
Why people love working at Brevo:
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