Tech Lead - AI Lab

Mission

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. You’ll spend most of your time shipping, while providing technical direction and mentorship that turn a high‑velocity squad into a high‑quality one.

Responsibilities

• Ship as an IC, lead by example: Spend ~70% of your time coding – owning backend and AI logic on agents, setting the bar for code quality, and demonstrating what “fast and reliable” looks like in practice.
• Set technical direction: Make architecture calls, define pragmatic LLM guardrails, and ensure the team builds components that scale in a regulated banking environment – not components that get rewritten in three months.
• Grow the engineers around you: Coach junior profiles, run progress reviews, and help people develop – without the overhead of a full people‑management role. This is technical leadership with a mentorship layer, not an EM job.
• Bridge the Lab and Qonto: 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.

What we’re looking for

• 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.

What you’ll get

• 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 full‑stack team – this role is being built as the Lab scales.

About your future manager

You’ll work closely with Sophie, our Manager for the AI Lab – but don't expect hand‑holding.

Sophie leads a cross‑functional team building Qonto’s AI‑first product, working directly with Product and Tech leadership to align the AI roadmap with the company’s strategic goals. Steve (CPO) attends Friday demos regularly.

Her approach: give engineers real ownership, create space for experimentation, and empower the squad to adapt their ways of working in pursuit of real impact.

Hiring Process

• 2 Interviews (1 hour each): first with your Talent Acquisition Manager, then with Sophie
• A take‑home technical skills test & debrief interview (1h30)
• A final interview with our VP Engineering, Carl

We aim to wrap the process in 10 days max, from first interview to potential offer.

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