At a Glance
- Tasks: Invent and launch innovative simulations that captivate audiences and drive insights.
- Company: Join a cutting-edge tech firm backed by top investors like Y Combinator.
- Benefits: Competitive salary, equity options, and a collaborative in-office environment in London.
- Other info: Work directly with the CEO and enjoy creative freedom to explore bold ideas.
- Why this job: Be at the forefront of simulation technology and make a real impact on how organisations understand audiences.
- Qualifications: Experience in end-to-end project delivery, AI tools, and front-end development.
The predicted salary is between 70000 - 100000 £ per year.
Artificial Societies (societies.ai) helps leading organisations understand how real-world audiences think, feel, and respond without the cost, delay, or limits of traditional research. We build large-scale simulated populations grounded in real-world data, so clients can test messages, strategies, and concepts and get insights backed by millions of responses in hours rather than months, including from audiences research normally can't reach: investors, CEOs, opinion leaders.
We're backed by Y Combinator, Point72 Ventures, and Kindred Capital, plus investors from DeepMind and Sequoia Scout. We're a lean team that moves fast, holds a high bar, and trusts each other to own outcomes end-to-end. Ideas win on merit, not seniority.
The Role
Most people have never seen a simulated society at work. The fastest way to make them understand it is to put one in front of them. Some things we want to build, to give you the register:
- 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.
You'll work directly with James, our CEO. You'll live in Claude Code and Python notebooks, find datasets nobody has thought to use, wire them into our simulation engine, and ship a front end that stands on its own. Then you'll make sure people actually see it.
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: £70,000 to £100,000 depending on experience, plus equity.
Why Join Now
Simulation is a brand new technology, and most of the world can't imagine what it can do yet. This is the role that changes that. You'll have unusual latitude: direct access to the CEO, a frontier simulation engine to point at whatever you find interesting, and permission to build the ambitious thing rather than the safe one.
Growth Engineer employer: Societies, Inc
At Artificial Societies, we pride ourselves on being an innovative employer that empowers our team to explore the uncharted territories of simulation technology. Located in the vibrant city of London, we foster a collaborative work culture where ideas are valued over hierarchy, and every employee has the opportunity to make a significant impact. With direct access to leadership and a commitment to personal and professional growth, joining us means being part of a forward-thinking team that is shaping the future of research and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Growth Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Societies, Inc.
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We think you need these skills to ace Growth Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Societies, Inc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Societies, Inc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Societies, Inc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Societies, Inc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
