Our platform gives institutional investors access to exclusive interviews with senior executives from the world’s best companies, plus a growing suite of AI-powered research tools. Clients include multi-billion-dollar funds across the US and Europe. You’d be joining a small, high-ownership group where every person shapes the product directly. The Role We’re hiring a senior full-stack engineer to build AI products that change how investors analyze companies. That means things like:

An agent that reads 10-K filings across 30 countries and extracts supplier relationships, segment economics, and risk factors — automatically Interactive interfaces where an investor can interrogate a company’s entire filing history in conversation Document processing pipelines that turn thousands of pages of regulatory filings into structured, searchable data

You’ll own the full lifecycle: talking to customers, designing the solution, building it, deploying it, and iterating based on what you learn. What We’re Looking For Must have

Full-stack TypeScript fluency — React, Next.js, PostgreSQL. You’re comfortable across the entire stack and can ship a complete feature alone. Product instinct — You’ve taken ideas from customer conversation to production. You make good decisions about what to build, not just how. Design sensibility — You build interfaces that are clean and intuitive. Comfort with Tailwind/CSS; you don’t need a designer to make something look good. AI-native workflow — You use AI tools (Claude Code, Cursor, Copilot, or similar) to move faster. You’re curious about LLMs and have opinions about how to build with them. Strong English communication — Our team is global and remote; our customers are primarily US-based. Experience building from zero — You’ve shipped products (at a startup, as a side project, or within a larger company) where you had to figure out the what, not just the how. Experience building products for investors or financial markets Hands-on work with LLM agents, context engineering, or RAG pipelines You’ve lived or worked abroad and thrive in distributed, cross-cultural teams

Why Join

Interesting problems — Applying LLMs to messy, real-world financial documents is genuinely hard and unsolved. You won’t be wrapping ChatGPT in a UI. Direct impact — Small team, sophisticated customers, short feedback loops. Your work ships and matters. Ownership culture — Flat hierarchy. Everyone talks to customers. Information flows freely. Learning environment — The team is full of investors. You’ll develop real domain expertise in public markets, not just build software about it.

What We Offer

Competitive market salary Option to earn equity Full setup — devices, tools, AI subscriptions, books, courses, conferences Madrid co-working space for those based locally

Hiring Process

Intro call — your background, what you’re looking for Take-home project — a small, real problem from our domain (respectful of your time) Technical deep dive — review your project together, discuss architecture and tradeoffs Team & founder interviews — culture fit, vision, questions both ways

Apply

Your LinkedIn and GitHub profiles A brief note on why this role interests you

We’re always looking for exceptional engineers. If the timing isn’t perfect, reach out anyway. #J-18808-Ljbffr