Growth AI Engineer

About Qonto and our Mission

Our mission is to create the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75.Founded in 2017, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023.We hire for skills and potential. With 80+ nationalities, 45% women, and 56% of women in our leadership team, diversity is integral to who we are. We've built a discrimination-free hiring process because the best teams are built on merit.AI at Qonto: AI is deeply embedded in how we work. Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.

Your Mission

Supercharge our Sales and Growth teams by building and deploying cutting-edge GenAI and agentic systems. By automating repetitive tasks and integrating our Go-To-Market (GTM) stack, you will have a direct impact on increasing sales efficiency and driving revenue generation, with the support of Julien, your future manager.

As an AI Growth Engineer at Qonto, you will:

• Automate Sales Admin Work: Build and deploy LLM-based applications and AI agents to automate repetitive tasks such as meeting summaries, CRM auto-fill, and follow-ups.
• Integrate our GTM Stack: Connect multiple data sources and internal tools (Salesforce, Dust, n8n, Snowflake) using APIs and lightweight scripts (Python/JS) to create a seamless information flow.
• Build End-to-End Workflows: Turn raw signals like calls and emails into structured knowledge to power hyper-personalized prospect experiences at scale.
• Rapidly Prototype & Ship: Deliver pragmatic solutions quickly in a fast-moving environment, prioritizing measurable operational impact and ROI over perfect technical architecture.
• Collaborate with Business Teams: Conduct discovery sessions with Sales and Growth stakeholders to identify low-value workflows, translate technical concepts clearly, and drive the adoption of your AI-powered tools.

What you can expect

In this role, you will work in a fast-paced, ambiguous environment where you have high ownership to leverage AI to scale our Go-To-Market operations. We value pragmatic engineering judgment, focusing on rapid prototyping, validating AI automations with business teams, and shipping "quick and dirty" V1s to prove value before over-engineering.We use tools such as GenAI/LLMs, Salesforce, Dust, n8n, Snowflake, Zapier, Python, JavaScript, and various APIs.

About your future manager

Your manager will be Julien. He has a unique career bridging finance and technology, with experience in financial control and leading Salesforce development. He joined Qonto in February 2024 as our Growth Operations Engineer Lead, focusing on scaling our growth technology stack and building engineering excellence within our 6-person Growth Ops Engineering team. Julien combines deep technical Salesforce expertise with strong business understanding and proven leadership experience. He is passionate about establishing development best practices, fostering team growth, and building scalable solutions.

About You

• Experience: 2-3 years of experience in a similar role, building and deploying AI-powered automations and integrations in a fast-moving, product-led environment.
• GenAI & Agentic Systems Expertise: Hands-on experience building LLM-based applications or agents. Clear understanding of LLM limitations (like hallucination mitigation) and ideally experience with prompt engineering and guardrails.
• API Integration & Scripting: Proficiency in writing lightweight scripts (Python/JS) and using orchestration tools (n8n, Zapier) to connect systems. Familiarity with Salesforce data models and CRM constraints.
• Systems Thinking: Track record of mapping complex workflows and translating unstructured data into actionable insights end-to-end.
• Pragmatic Delivery: Balance impact versus effort, favoring rapid prototyping and a strong shipping mindset over over-engineering. High agency in ambiguous environments.
• Stakeholder Collaboration: Experience conducting discovery sessions with operational or sales teams. Ability to translate complex AI concepts to non-technical stakeholders and drive adoption of new internal tools.

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.

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Key skills/competency

• AI Engineering
• GenAI
• LLM Applications
• Agentic Systems
• API Integration
• Python
• JavaScript
• Salesforce
• CRM
• Prompt Engineering