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Qonto

Qonto - Tech Lead

Remote - France4w ago
RemoteStaffEMEABankingArtificial IntelligencePaymentsTech LeadCursorClaudePythonRubyGo

Requirements

• 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. • A final interview with our VP Engineering, Carl • We aim to wrap the process in 10 days max, from first interview to potential offer 🤞 • If you've read this far and thought "that sounds like me but I don't check every box" — apply anyway. We hire on potential and mindset, not checklists. • 🔒 Your security matters to us • Recruitment scams are on the rise. We will never work with third-party platforms or agencies that request payment from candidates. • If you receive a suspicious message claiming to be from Qonto, please report it right away at [email protected]. • At Qonto, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — who knows? You may have the missing piece of the puzzle we’ve been searching for all along. • ----------------------------------------------------------------------------------------------------- • On average, our hiring process lasts 20 working days. More information on our candidate journey here • Recruitment scams are on the rise. Keep in mind, we will never work with third-party platforms or agencies that request payment from candidates. • If you receive a suspicious message claiming to be from Qonto, please report it right away ([email protected]) • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.

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