AI & data lead

About this role

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 (BigQuery, 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: BigQuery , Datastream , Metabase , LLM APIs and agent frameworks Infrastructure: Terraform , AWS , GCP , Kubernetes , Docker , PostgreSQL External services: Ory , Datadog What's already in place? 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.