About
This team is building an AI Operating System that autonomously runs entire companies - every revenue motion, every product decision, every operational function - with compounding intelligence across all of them.
The core insight: truly consequential AI requires context no outside vendor can access. Real decisions need CRM records, support tickets, customer communications, contracts, finance data, product telemetry, market signals, audit logs – dozens of dimensions, deeply connected.
They’ve solved that structurally. Instead of selling software from the outside, they acquire B2B software companies and embed the system directly inside them. That gives the AI full access to live data, real feedback loops, and the organisational depth needed to encode business intuition over time. Every acquisition deepens the intelligence. Every agent compounds it.
The work spans enterprise data ingestion, pipeline reliability, model orchestration, agent execution, and the practical architecture trade-offs around latency, cost, and performance. The engineering team is small today (~5, scaling to ~15), so new hires will own core parts of the system early.
The founders have a strong track record, including a prior multi-billion exit. The business is already generating meaningful revenue across its portfolio.
What you'll do
- Build the core systems that ingest, structure, and model multi-source enterprise data
- Design abstractions that unify different schemas, workflows, and business logic
- Work on AI-native workflows (LLMs, agents, internal tooling) on top of that representation layer
- Ship production systems end-to-end across backend and product surfaces
- Make trade-offs between speed and long-term architecture in a fast-moving environment
- Work directly with product and commercial teams on high-impact problems
Stack
- Backend in Ruby, Python and Rust
- Frontend in TypeScript / React
- Heavy use of AI coding tools (Claude Code, Cursor, etc.)
The stack will evolve – they care more about how you think than what you’ve used.
What you'll need
- Strong engineering fundamentals (language-agnostic)
- Experience building production systems with real users and data
- Solid understanding of system design, data modelling, and APIs
- Ability to operate in ambiguity and break down complex problems
- Product mindset and high ownership
Shortlisted candidates will be contacted within 48 hours.
