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Qonto

Tech Lead – AI Lab

Qonto

Tech Lead for AI Lab at Qonto, enabling AI-first product for SME finance management. Manage engineering teams and drive technical standards in a cross-functional environment.

Posted 5/27/2026full-timeRemote • 🇫🇷 FranceSeniorWebsite

Tech Stack

Tools & technologies
GoPythonRuby

About the role

Key responsibilities & impact
  • Join our AI Lab as a Tech Lead and help Qonto build the AI-first product that transforms how 600,000+ businesses manage their finances.
  • Spend most of your time doing what you love — shipping — while providing the technical direction and light mentorship that turns a high-velocity squad into a high-quality one.
  • Work alongside Sophie, our Manager for the AI Lab, you'll set the technical standard for a 13-person cross-functional team as we scale from one AI agent to many.
  • Directly manage 5 engineers across Backend, Web, and Mobile — leading by project and track, not by stack — keeping pace with our ambition: one new agent every 6 weeks.
  • Act as the technical interface between the AI Lab and the broader organisation — understand how features are built across Qonto, bring that knowledge into the Lab, and ensure what we build in agents integrates with the wider product.

Requirements

What you’ll need
  • Python depth with a leadership track record: Strong production experience in Python, with experience setting technical direction in a team — Go and/or Ruby are a plus for Qonto service integrations.
  • IC-first mindset: You've grown into a lead or management role but genuinely want to keep shipping. 70% coding time isn't a constraint — it's what draws you to this role.
  • AI-native workflow: Daily use of AI coding tools (Cursor, Claude Code, Copilot) is a baseline expectation. You use them yourself and set the example for your squad.
  • AI curiosity over AI expertise: Production AI experience not required — what matters is genuine curiosity, active experimentation, and the drive to build things even outside of work.
  • Coaching ability: You know how to develop junior engineers — give feedback that lands, spot growth opportunities, and run progress reviews that actually move the needle.
  • Strong communicator: You articulate technical decisions clearly to non-technical stakeholders and navigate cross-functional squads with ease.

Benefits

Comp & perks
  • Unlimited access to the best AI tools on the market: Claude Code, Cursor, Copilot, Dust, Notion AI.
  • A Python-first stack with hands-on AI agent work from day one — PydanticAI, LangGraph, LangChain in the mix (framework awareness appreciated; production expertise not required).
  • A squad culture where autonomy is the default — minimal process, quick dailies, weekly demos with leadership, and every hour counting.
  • The opportunity to define what technical leadership looks like in an AI-first fullstack team — this role is being built as the Lab scales.

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Hard Skills & Tools
PythonGoRubyAI coding toolsAI-native workflowproduction experiencetechnical directioncodingsoftware developmentintegration
Soft Skills
leadershipmentorshipcoachingcommunicationcollaborationfeedbackgrowth mindsetproblem-solvingarticulationcross-functional teamwork