Senior Full Stack Engineer

We're building The Investment Research OS. The operating system for long-term investors. Our platform connects institutional investors with senior executives from the world's best companies, providing exclusive interviews, research analysis, and insights that drive investment decisions. And we also build a suite of investment research tools powered by cutting edge technologies like AI agents.

We're backed by long-term capital and focused on smart allocation with strong ROIC. Our customers include some of the most sophisticated investors globally, and we're growing steadily as we expand our product offerings.

The Opportunity

Join our R&D team to build greenfield AI products that will transform how investors analyze and understand companies. You'll be working on cutting-edge applications that use Large Language Models to process and extract insights from international filings, regulatory documents, and research materials.

This is a true full-stack role where you'll own the entire product lifecycle — from understanding customer needs and gathering feedback, to designing and building the solution, to deploying and maintaining it in production.

What You'll Be Building

• AI-powered research tools using state-of-the-art LLM Agents
• Novel interfaces for exploring and analyzing financial documents and company data
• Scalable systems that can handle complex document processing and analysis
• Products from scratch — every project is greenfield and requires deep customer understanding

Essential Skills

• Claude Code or similar — we think top engineers leverage agents like Claude Code
• Startup experience — you've built products or side projects in fast-moving environments
• Full-stack product mindset — you can take an idea from customer feedback to production
• TypeScript, React, NextJS, PostgreSQL — our core stack
• Design and UX sensibility — you can build beautiful, intuitive interfaces with HTML, CSS, or Tailwind
• Strong English communication — critical for our global, remote team and US customer base

Highly Valued

• Interest in LLMs and AI — experience with Claude Code, context engineering, prompting, and cutting-edge AI tools
• Financial markets experience — experience building a product for investors or other financial market participants
• Startup hustle mentality — you love building products and don't mind occasional weekend work to ship something great
• International experience — you've lived abroad and work well in diverse, distributed teams

Why In Practise?

• Cutting-edge AI work — you'll be at the forefront of applying LLMs to financial research
• Direct customer impact — your work directly helps sophisticated investors make better decisions
• Flat hierarchy — everyone talks to everyone, information flows freely
• Learning culture — most of our team are investors themselves; we're all learning together
• Quality focus — we optimize for excellence, not volume or speed

Our Culture

We're a remote-first company with team members across different countries. Our R&D team has a core presence in Madrid with regular in-person collaboration at coworking spaces, plus 2-3 company offsites per year in Europe.

What We Offer

• Above-market salary
• Equity program — we encourage all employees to become company owners
• Everything you need to do your best work — devices, tools, AI subscriptions, learning resources
• Growth opportunity — join a profitable, growing company with access to long-term capital
• Continuous learning — conferences, books, courses, and direct exposure to world-class investors and operators

Hiring Process

1. Introduction Interview
2. Code Challenge — small project based on real problems
3. Technical Deep Dive
4. Team Interviews

Email us with your LinkedIn profile, GitHub profile, and a brief note on why you're excited about building AI-powered research tools for investors at [email protected].