You will build critical decision infrastructure that uses AI-powered synthetic audiences to simulate human behavior. Working directly with hands-on founders, you'll evolve a platform that replaces guesswork with evidence-based modeling. This role requires an execution-focused engineer who can navigate ambiguity and bridge the gap between complex AI orchestration and intuitive product design.
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Product / Software Engineer at Electric Twin
Most organizations make massive decisions based on gut feel. Join a London-based team backed by over £10M in funding to build the software that changes that. Led by founders with deep experience at the highest levels of government data and mass testing, this startup uses AI-powered synthetic audiences to simulate human responses in real-time. If you are a product-minded engineer who loves Python, React, and shipping features that solve complex orchestration problems without the hype, this is a rare chance to shape a platform while it's still malleable.
About this role
Role overview
About the company
Electric Twin
Electric Twin builds science-based synthetic populations and tools for interacting with them, enabling companies and governments to predict human attitudes and behaviour with high accuracy. Their technology creates simulations of real-world populations for rapid and scalable insights. Electric Twin was founded by the former Chief Advisor to the Prime Minister on Digital and Data and the former Director of Mass Testing, aiming to solve the problems they faced in understanding human behaviour during the pandemic. The team includes experts with backgrounds in data strategy, government, and advanced AI product development.
What you'll do
What you will do
- Design and ship end-to-end features using React, Next.js, and Python/FastAPI to help users explore uncertainty through synthetic populations.
- Orchestrate complex AI components into a reliable, explainable system that provides trustworthy outputs for high-stakes decision making.
- Own the entire product lifecycle from vague problem definition to polished execution, balancing rapid momentum with long-term system health.
Who you are
Who this is a fit for
- Proven experience building robust web applications with a modern stack including React, Python, and cloud infrastructure (GCP preferred).
- A "thinking engineer" mindset with the ability to thrive in an environment without perfectly specified tickets or rigid corporate ceremony.
- Strong technical judgment and a bias toward action, comfortable working 4 days a week in a high-intensity London-based office environment.
Why this role
Why this role is remarkable
- Work with a high-pedigree founding team including the former Chief Advisor to the PM on Digital and Data and the former Director of Mass Testing.
- Join a post-seed startup with over £10M in funding that is solving the massive problem of how organizations model human response to uncertainty.
- High-impact opportunity where your architectural decisions on APIs and system boundaries will shape the platform’s trajectory for years to come.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s 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.