Artificial Societies (societies.ai) helps Fortune 500 organisations understand how real-world audiences think, feel, and respond — without the cost, delay, or limitations of traditional research. We build large-scale simulated populations grounded in real-world data, enabling clients to test messages, strategies, and concepts. Our clients love the ability to receive insights backed by millions of responses in hours rather than months, and to access previously inaccessible audiences (e.g. investors, CEOs, opinion leaders).
We're backed by Y Combinator, Point72 Ventures, and Kindred Capital, plus investors from DeepMind and Sequoia Scout, and work with leading organisations across technology, financial services, communications, and public affairs.
We're a lean and highly effective team. We move fast, hold a high bar, and trust each other to own outcomes end-to-end. The culture is collaborative but low-ego: ideas win on merit, not seniority.
We're looking for a Product Engineer to own features end to end — from a rough idea to a polished, reliable feature that our clients use every day. You'll work directly with our designer and our CTO, and partner closely with our forward-deployed and research engineers to turn the frontier of what our simulation engine can do into a product people love.
This is a role for someone with both great taste and deep technical skill. You care about how a feature feels, the latency, the empty states, the small interactions that make a product feel great and you care just as much about the database schema, the API contract, and the architecture that keeps it fast and reliable at scale. You sweat both.
This is a rare chance to own the product that puts frontier AI in the hands of the world's most important organisations. You'll work directly with our designer and CTO, ship features that Fortune 500 firms rely on, and have real influence over how the product looks, feels, and works. If you want the ownership of an early team, the craft of a product you're proud of, and the technical depth to build it properly, this is the role.
Artificial Societies are networks of thousands of AIs that model the opinions of important groups of people. We are informing clients with $3T+ in total market cap, helping global F100 enterprises test how their biggest decisions shift the opinions that matter, including those of their customers, investors, opinion leaders, and regulators.
We are experts in human societies. James, our Founder and CEO, is a Cambridge psychologist and data scientist who led the seminal paper that studied how 33,000 AI chatbots interact. Patrick, our Founder and Chief Product Officer, is an Applied Behavioural Scientist with years of experience helping F500 enterprises conduct market research. They are joined by a team of behavioural scientists, social scientists, and political scientists, all with a passion for uniting technology and an understanding of humanity.
Our vision of Artificial Societies is a Societal World Model - socially intelligent technology that shape the decisions that shape the world. No planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets. We see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.
Equity
0.05% - 0.2%
Location
London, England
Experience
3+ years
Total raised
$7.3M
Last stage
Seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.