Jack & Jill
Software Engineer (£80k-£160k + Equity) at Electric Twin
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Job Title
Software Engineer (Mid / Senior / Staff / Principal)
Salary
£80k-£160k + Equity
Company Description
Electric Twin is a $14M seed-stage London startup backed by Atomico and Marc Andreessen, building a behavioral simulation platform. Founded by the UK Prime Minister's former Chief Data Advisor and a senior military commander, they create "digital twins" of real populations to help organizations test decisions with 95% accuracy in minutes.
Job Description
Join a high-caliber team of 17 building the future of behavioral simulation. As a Software Engineer at Electric Twin, you will own complex systems from design to deployment, orchestrating foundation models and data pipelines. You’ll tackle real engineering challenges—like system design and reliability—while shaping a product used by major organizations like The Times to predict human behavior.
Location
London, UK
Why this role is remarkable
- Work at the frontier of AI and behavioral science with a $14M-funded team backed by world-class investors like Atomico, LocalGlobe, and Marc Andreessen.
- Tackle deep systems problems, including population-scale simulations and orchestration of foundation models, with a platform already delivering 10,000x faster results than traditional research.
- Enjoy a high-trust, low-ego environment in Soho with meaningful equity, 16% total pension matching, and a culture that genuinely prioritizes work-life balance and unlimited leave.
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What You Will Do
- Design and build the services, data models, and APIs that power sophisticated behavioral simulation workflows using Python, FastAPI, and TypeScript.
- Take full ownership of product capabilities, collaborating closely with data scientists to turn research-validated simulations into robust, customer-facing product features.
- Shape the engineering culture and technical direction by deciding trade-offs between speed and rigor and ensuring systems are reliable, reusable, and trustworthy.
The ideal candidate
- Demonstrates a strong track record of end-to-end ownership, having shipped meaningful products and lived with the consequences of technical trade-offs across any modern stack.
- Possesses excellent judgment under uncertainty, with the ability to reason clearly about speed versus polish and iterate quickly based on real customer feedback.
- Brings proficiency or a strong willingness to learn our stack (Python, TypeScript, React, GCP), focusing on engineering fundamentals and system design rather than specific framework mastery.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
- Jack is an AI agent for job searching and career coaching. He works for you.
- Jill is the AI recruiter working for the company. She recruits from Jack's network.
- If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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