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iOS Product Engineer - AI Lab

Roles & Responsibilities

  • Strong production experience with Swift; Kotlin is a plus
  • Startup mindset: fast learner and confident shipper who thrives under velocity constraints; fintech or regulated-industry experience is a plus
  • AI-native workflow: daily use of AI coding tools (Cursor, Claude Code, Copilot) to amplify output
  • Adaptability and strong communication: pragmatic, able to articulate technical decisions to non-technical stakeholders and collaborate across cross-functional squads

Requirements:

  • Ship a new AI agent experience every 6 weeks, balancing speed with reliability and minimizing technical debt
  • Build scalable foundations: architect clean, testable, and performant mobile solutions that scale as we replicate agent capabilities across the app
  • Leverage AI daily: use AI coding tools (Cursor, Claude Code, Copilot) for ~70% of coding to review, refine, and ship features faster
  • Drive cross-platform speed: ensure AI features shipped on Web reach Mobile quickly, owning the mobile layer end-to-end

Job description

Our mission: Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe's leading finance workspace.
 
Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers with a team of 1,600+ Qontoers across Europe.
 
Our beliefs: We evaluate applicants based on skills and potential — no boxes to tick. Our team is 55% international, 44% women, and 20% parents. Discover the steps we took to create a discrimination-free hiring process.
 

⭐ Mission

Join our AI Lab as an iOS Product Engineer and help accelerate Qonto's transition to an AI-first product. You'll ship user-facing AI agents that transform how 600,000+ businesses manage their finances, working in small, autonomous squads under the guidance of Sophie, our Manager for the AI Lab.

With an ambitious goal to launch one AI agent every 6 weeks, you'll deliver high-impact mobile experiences with production-grade standards, and help build the scalable foundations that carry these agents across iOS, Android, and Web.


👩‍💻🧑‍💻 As an iOS Product Engineer - AI Lab at Qonto, you will

  • Ship fast and well: Deliver a new AI agent experience every 6 weeks, balancing speed with reliability and minimal technical debt.
  • Build scalable foundations: Architect clean, testable, and performant mobile solutions that scale as we replicate agent capabilities across the app.
  • Leverage AI daily: Use AI coding tools (Cursor, Claude Code, Copilot…) for ~70% of your coding to review, refine, and ship features faster. (Click HERE to read our vision statement on AI at Qonto.)
  • Drive cross-platform speed: Ensure AI features shipped on Web reach Mobile fast, owning the mobile layer end-to-end.

🏅 What we're looking for

  • Mobile expertise: You have strong production experience with Swift, and know how to ship at pace — Kotlin is a plus.
  • Startup mindset: You're a fast learner and confident shipper who thrives under velocity constraints without sacrificing quality — fintech or regulated industry experience is a plus.
  • AI-native workflow: You're an early adopter of AI coding tools and use them daily to amplify your output — not just experiment with them.
  • Adaptability: You're pragmatic, step outside your comfort zone when needed, and commit once a decision is made — even if it wasn't yours.
  • Strong communication: You can 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 modern mobile stack built on Swift & Kotlin, with full immersion in cutting-edge AI tooling.
  • A squad culture where autonomy is the default — you own your decisions and ship without red tape.
  • An AI-first context with a "startup within a scaleup" mentality: minimal process, quick dailies, weekly demos with leadership, and every hour counting.

🤝 About your future manager

You'll work closely with Sophie, Manager of the AI Lab — but don't expect hand-holding.

Sophie has led cross-functional teams through the full product lifecycle at both fast-growing startups and established tech companies. She partners directly with Product and Tech leadership to align the AI roadmap with Qonto's strategic goals.

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 or one of her team leads
  • A live exercise (2 hours) to see how you think and give you a feel for what working at Qonto is like

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 support@qonto.com.


 

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