At a Glance
- Tasks: Lead AI initiatives and enhance cash management experiences for CFOs using Spiko.
- Company: Join a fast-growing fintech startup backed by industry leaders.
- Benefits: Competitive salary, stock options, remote work flexibility, and health insurance.
- Other info: Dynamic team culture with regular social events and excellent career growth.
- Why this job: Be at the forefront of AI innovation in treasury management.
- Qualifications: 5+ years in software or AI engineering with cloud data expertise.
The predicted salary is between 81000 - 99000 £ per year.
Our Mission
Money sitting idle is money lost. We're fixing that.
Founded in 2023 by Antoine and Paul-Adrien, Spiko gives businesses, non-profits, financial advisers, and fintechs access to institutional-grade cash management, via app or API.
We are building the full infrastructure: issuing, operating, and distributing the products ourselves.
Two years after launch, we serve thousands of organizations across Europe and process hundreds of millions of euros in flows every month.
Our ambition: become the world's leading treasury management infrastructure in a market worth trillions.
We are backed by Index Ventures, the CEO of Revolut, the founder of Kyriba, and the CTO of Wise.
Spiko runs on excellence, transparency, and straight talk.
The role: AI & data lead
Your mission is simple: supercharge Spiko with AI.
We are looking for a senior engineer to join Spiko's tech team and take ownership of our AI and data initiatives.
The role sits within the tech team and works with the whole company; the ambition is that you build the AI and data team around you as Spiko scales.
Key Responsibilities
- Embed AI into Spiko's product, to give the CFOs who use Spiko the smoothest cash management experience there is.
For example: letting users automate their deposits and withdrawals, run operations in Spiko straight from a prompt, or point their own AI agents at a Spiko MCP server to query positions and perform deposits and withdrawals programmatically.
- Empower every team to use AI in their day-to-day work, including legal, sales, marketing and ops. For instance, give our customer support AI-assisted drafting and answering.
- Keep us at the state of the art in AI-assisted software engineering, owning the tooling, practices and infrastructure that make AI a force multiplier for the whole tech team.
- Own our data platform, evolving and maintaining the analytics infrastructure (Big Query, Datastream, Metabase, etc.) that makes production data accessible to non-technical teams, and supporting the data initiatives built on top of it.
- Our stack
- Languages and frameworks: Typescript, NX, Effect, React, Tailwind
- Data & AI: Big Query, Datastream, Metabase, LLM APIs and agent frameworks
- Infrastructure: Terraform, AWS, GCP, Kubernetes, Docker, Postgre SQL
- External services: Ory, Datadog
Claude is deployed company-wide and all teams use it daily.
A handful already run automated recurring workflows in production.
Our product data has been queryable in plain language with Claude for almost a year, which means non-technical teams answer their own questions.
You'll find a working base that needs an owner to take it to the next level.
Requirements (must-haves)
- Who we’re looking for
- You're a software or AI engineer with 5+ years of experience
- You're comfortable as an individual contributor as well as managing stakeholders both inside and outside the tech team
- You are very comfortable with cloud data infrastructure
- You have hands-on experience building with LLMs (agents, RAG, tool use, evaluation) and shipping AI features to production, not just prototypes
- You can operate autonomously with non-technical stakeholders: understanding a business team's workflow, scoping the right automation, and delivering it
- You are comfortable working in an English-speaking environment
- You are curious and eager to learn, with a problem-solving mindset
- Nice To Have
- You have experience taking ownership of a technical domain across a company (platform, data, or AI enablement roles)
- You have worked with functional programming patterns (we use Effect heavily)
- You have built and shipped an MCP server, or agent-facing APIs
- You have experience in capital markets, fintech or Web3
- You have worked on tech projects in highly regulated environments (e. g. fintech, regtech, healthtech, edtech, etc.)
What We Offer
- Compensation: Competitive package depending on experience + Stock Options
- Offices: in central Paris & London
- Remote work: up to 2 days per week and one full remote week per month
- The best tech for your job: latest-generation laptops and industry-leading software
- Health insurance: 100% covered by Spiko
- Monthly Budget to cover different perks of choice
- Transport: 50% of public transport pass covered or the Forfait Mobilités Durables (FMD)
- Referral Bonus
- Social life: regular afterworks and biannual offsites
- Our hiring process
- Hiring Manager Interview - 30 min with Nicolas, Tech Lead
- Product interview - 1h with a senior member of our product team (remote)
- Coding & System design interview - 2h with two engineers from the team (in person, Paris)
- AI enablement case - 1h with Victor, Chief of Staff (in person, Paris)
- Final Interviews with the Founders (in person, Paris or London)
- Reference Check - we'll reach out to your references to gather further insights
- Offer
If something here doesn't match your résumé perfectly but you believe you'd thrive in this role, apply anyway. Tell us why.
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AI & data lead employer: Spiko
At Spiko, we pride ourselves on being an exceptional employer that fosters a culture of excellence, transparency, and innovation. Located in the vibrant heart of Paris, we offer our employees competitive compensation packages, stock options, and the flexibility of remote work, all while providing access to cutting-edge technology and a supportive environment for professional growth. Join us as we revolutionise treasury management and enjoy a dynamic workplace where your contributions directly impact thousands of businesses across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land AI & data lead
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Spiko or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Spiko.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Spiko.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Spiko that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI & data lead
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Spiko.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Spiko and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Spiko
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Spiko uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
