Growth Engineer

Artificial Societies operates at the frontier of predictive intelligence, using AI to simulate and predict human behaviour at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Artificial Societies simulates entire populations with unprecedented accuracy. Our partners work with us for many reasons: they leverage Artificial Societies to refine strategy in volatile geopolitical climates, cut new product innovation timelines from months to minutes, and deploy marketing campaigns that win in an era where consumers have never been harder to understand. We provide organisations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time.

We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust, and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energised by the idea of a small team doing things that feel impossible, let's build together.

About the role

• A simulation of the Roman Senate, with a live Fox News feed piped in as the day's events. What would Cato make of the news cycle?
• Simulated prediction markets. Take live Polymarket topics, run them through different scenarios, and watch what shapes the opinions that shape the world.
• Whatever you come up with that's better than both.

What you'll do

• Invent and ship public demos. Own the whole arc: the idea, the data, the simulation design, the front end, the launch.
• Find novel datasets. Work out what data exists in the world, how to get it, and how to turn it into simulations.
• Make the front end good. These demos are how people form their first impression of simulation. They need to look like something worth sharing.
• Get attention. Understand what travels on X, LinkedIn, Reddit, and Hacker News, and build with distribution in mind from the first line of code.
• Feed it back into the product. Building at the edge of what our engine can do surfaces what it should do next. You'll take that straight to our research and product engineers.

What we're looking for

• You've shipped things end-to-end. Data, backend, front end, deploy, launch. You have a list of things you've put on the internet, and at least one that people paid attention to. You can explain why it worked.
• Fluent with AI coding tools. You use Claude Code or equivalent daily, and you know where it stops being trustworthy.
• Comfortable in Python notebooks. You can pull a messy dataset apart, reason about what it actually says, and be honest when it doesn't say what you hoped.
• Front-end capable. You can build an interface people want to click on. Design taste matters more than framework mastery.
• A source of ideas. You'll be judged partly on the quality of what you bring, not just your execution of ours. We want the person whose Slack messages start with "okay this is insane but". You don't wait for a ticket. You see something worth building, and you build it.

Nice to have

• Ex-founder. A huge plus. If you've run your own thing, funded or not, alive or dead, you already know how this role works.
• An audience of your own, or a track record of things that gathered a following.
• Interest in politics, forecasting, history, or media: any domain where social opinion is the thing that matters.
• Familiarity with TypeScript (our product stack), or a background in social science, network analysis, or data journalism.

Logistics

• Location: London, in-office. We build better together.
• Salary: £80,000 to £120,000 depending on experience, plus equity.

Why join now

How to apply