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

Brevo is transforming all of its operations to become AI native: We are redefining the way we work internally, the way we consume data (analytical and operational), the way we interact with each other.
From customer support teams to RevOps, from Analytical engineer to finance team, all our jobs will be transformed and we becoming manages of agents. The AI Ops team drives this transformation: it builds and operates AI agents, applications, and the associated tooling, in production. We bring impact at high speed.
We're looking for a Tech Lead to set the technical direction of AI Ops and lead the engineers who build it. You'll own the architecture of our agent platform and raise the bar on how we ship, while staying hands-on in the code.
This is not a research-oriented role: we're looking for a builder with experience making systems work in production.

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.
A fast paced organisation able to redefine itself quicker than any other
Real autonomy: define problems with business teams, own solutions through to production.

Your Impact at Brevo:

Design, build, and operate AI agents in production.

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.

Own the architecture of the solutions we build, and make the key technical decisions (multi-agent design, pre-processing, deterministic routing, LLM-as-judge, observability, human in the loop surface of interaction)

Own deployment and operations: CI/CD, sandbox/production environments, monitoring, and agent observability.

Set engineering standards for code quality, code review, evals, testing, and deployment. Make sure the team follows them.

Mentor and grow the engineers on the team

Who you are:

Must-have:

Proven tech lead experience: you've set the technical direction for a team, made architecture calls, and mentored engineers.

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, and help your team do the same.

DevOps-fluent: end-to-end deployment, infra-as-code, and debugging network environments (VPN, proxies).

Agents & LLMs: hands-on experience shipping agents to production (ADK, LangChain, or similar), including applied prompt engineering and evaluation.

You build with AI daily (Claude Code, Cursor, or equivalent) and push the team to do the same.

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:

30 min call with Talent Acquisition

Vision & systems interview with the Chief Data and AI Officer

Technical assessment

Team mee

Technical Lead - AI Ops at Brevo