AI Product Engineer

Description

What is Finary?

Money is broken. Most people's wealth sits in products they did not choose, with fees they cannot see, and a private banker costs more than they will ever pay. We are putting one in everyone's pocket: the same quality of advice for a €10K saver and a €10M client.

Mounir launched Finary in 2021, and more than 1M people now track their wealth with us, for free. Finary AI turns that financial context into a plan, and our own investment products and in-house wealth advisors (Finary One) make it real: clarity on what you have, guidance on where you are going, action to get there.

Why now?

AI makes this vision possible, and 3 things make it hard to copy:

Data: years of per-user financial history, goals and risk profiles that no public dataset holds.

Brand: half of our new users come from our own channels, and 1 signup in 5 names our YouTube channel.

Licences: stocks, ETFs and crypto on one regulated platform, passportable across Europe. We started early, when a simple registration was enough: PSAN in 2022, Investment Firm licence in March 2026, MiCA in July 2026. Since July, every crypto platform in Europe must be licensed or stop.

Many fintechs will have the AI, and a few will have the licences. We have all 3. We raised €40M from Hedosophia, Y Combinator and Speedinvest, alongside founders and operators like Steve Anavi & Alexandre Prot (Qonto), Matthieu Rouif (Photoroom), Eric Demuth (Bitpanda), Axel Weber (former UBS Chairman) and Harsh Sinha (CTO at Wise). There's never been a more exciting time to join.

Responsibilities

• Advisory at scale : build the closing machine and the systems that accelerate our sales team
• Allocation engines : build the recommendation engine that captures our advisors' expertise
• Operating systems : build the agentic layer that lets our operations team orchestrate a fleet of AI agents, with minimal humans interactions
• End-to-end ownership : gather needs with the teams who use your products, then design, build, deploy and maintain them; define what a correct agent decision looks like, measure it, and catch drift before users do
• Enablement : help non-engineers build their own automations, step in when they need something more robust, and work with the rest of engineering on shared agentic infrastructure

Requirements

• Production software experience : 3+ years shipping production grade software, including products you've owned end to end, from gathering needs to running them
• AI systems in production : you've built and run LLM integrations, agents and multi-step orchestrations in production. You can explain how they work and evaluate them. You know when a simple rule beats an agent, and AI coding tools are part of your daily work.
• Range across the stack : comfortable across several languages and codebases, and quick to pick up new ones. Our stack is TypeScript, Rust and Ruby, on Google Cloud and Kubernetes with infrastructure as code. You don't need to be an SRE, but you deploy and run what you build and keep data correct as systems evolve
• Product sense and UX : you start from the problem, not the technology, and you care about the people using what you build and how it feels to use
• High agency : you work across teams and switch context often, and you find the next problem worth solving and own it without waiting to be told
• French and English : fluent French to work with our advisory team and the rest of the company, and professional English
• Based in Western Europe : we expect quarterly presence for our onsite weeks in Paris. This role is open to candidates based in Europe with the right to work in the EU.
• We're particularly interested in:
• An agentic system you built that is in production and used today
• How you know it works, and what it saves the people using it
• A time you chose a simple script or rule over an agent, and why
• Familiarity with fintech or a regulated industry
• Passion for personal finance and investing

Benefits

• We're 70 builders who genuinely love what they do: real ownership from day one, tier-1 salary and equity, offices in the heart of Paris with hybrid remote, and quarterly gatherings we actually look forward to.
• We hire A-players who are as kind as they are demanding, people whose ideas transform not just our product but the way we work and think. Our culture is direct, transparent, and built on radical candor: we challenge each other openly, then commit. And we don't hedge on AI. It's the single most important skill of the next decade and a real bar here. Everyone at Finary has rebuilt how they work around it. If that's already second nature to you, you'll be surrounded by people pushing that frontier every day.
• Read more about our values here .
• The opportunity
• AI is not a side project at Finary: it's how we intend to run the company. Our teams already build their own automations, so this role is about the hard part: complex orchestrations, and intelligence inside the products our advisors and operations team rely on every day. You own what you build end to end, from understanding the need with the people who'll use it to running it in production. We move fast and need an AI product engineer to move with us.
• Competitive salary: €65k - €80k base depending on experience, plus stock options
• Hybrid setup : teammates across France and Europe, with one week together in Paris every quarter (travel and accommodation covered)
• Closeness to your users : you're part of the Operations team, work across advisory, sales, operations and engineering, and have direct access to the people using what you build from day one
• High-performing environment : A-players who challenge you and help you grow
• Impact that compounds : what you build today makes every team more effective tomorrow