Product / Software Engineer, Electric Twin

We’re building a science-driven AI product used by global brands to test ideas against synthetic populations. You’ll get to work directly with founders who previously led national-scale data and AI programmes. This role isn’t about implementing tickets. You’ll help shape how the product works, make architectural decisions, and ship software that directly changes how companies make decisions.

£75-115k

React

GCP

Python

Postgres

Next.js

FastAPI

Senior and Expert level

London

4-5 days a week in office (Soho, London)

Building synthetic audiences that accurately model how humans think and behave

Open for applications

Building synthetic audiences that accurately model how humans think and behave

21-100 employees

Artificial IntelligenceMarket researchMachine Learning

Open for applications

£75-115k

React

GCP

Python

Postgres

Next.js

FastAPI

Senior and Expert level

London

4-5 days a week in office (Soho, London)

21-100 employees

Artificial IntelligenceMarket researchMachine Learning

Company mission

To improve our understanding of the world.

Job

Company

Role

Who you are

You’ve shipped real software that people rely on. Not just prototypes or internal tools.
You’re comfortable operating with high autonomy and making decisions without heavy process.
You enjoy turning messy product ideas into working systems.
You think in trade-offs, not absolutes; speed vs clarity vs long-term architecture.
You’re excited by building something early enough that your decisions genuinely shape the product.
You want to work closely with founders, product and design, not sit behind a ticket queue.

Desirable

Experience working on AI-driven or data-heavy products.
Comfort working in a high-agency environment where engineers influence product direction.
Experience improving or refactoring systems while continuing to ship features.
Interest in LLM-assisted development or experimenting with new engineering workflows.

What the job involves

Building core product features used by real customers, not internal experiments.
Contributing to a high-agency culture where engineers own outcomes, not just code.
Working across the full stack to shape how the product behaves. From UI clarity and usability through to backend architecture and AI orchestration.
Making product and technical decisions alongside founders, design, and science teams.
Interest in AI-native development workflows or experimenting with new ways to build software faster.

Application process

Stage 1: Alignment call (30 mins)
Stage 2: In depth intro & engineering conversation (60 mins, video call): An introduction to Electric Twin and the role, followed by a discussion of your background and a real engineering problem you’ve worked on. We’re interested in how you think, make decisions, and reflect on real work
Stage 3: Code review & design session (90 mins, in person): A collaborative session reviewing a small codebase and working through a system design problem together. We’re interested in your thinking, trade-offs, and approach — not getting to a “perfect” answer
Stage 4: Team & founder conversations (in person): Time with the wider team and founders to go deeper on ways of working, mutual fit, and any remaining questions on both sides

Salary benchmarks

Our take

Electric Twin is a company utilising large language models to simulate human behaviour. Through its LLM models, users can create synthetic populations that represent their target markets or research demographics in order to investigate outcomes in near real-time and make more informed decisions.

The company supplies a range of investigative tools; from qualitative polling and quantitative analysis, to simulated focus groups or even one-on-one discussions. It also enables ideas to be continuously refined through strong feedback, ensuring that strategy can always be backed by the latest data.

With such a unique proposition, Electric Twin stands out as one to watch in the rapidly developing generative AI sector. It is currently working to build out its team and, if its models are able to deliver the value suggested, there will surely be no shortage of success in its future.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Company benefits

We have an excellent health insurance package for employees with BUPA.
All full time employees are enrolled onto our options scheme at the end of their probation period, which will be explained to new joiners in detail.
We offer Unlimited Time Off and believe it is important for you to take sufficient rest through the year.
Electric Twin has a generous pension scheme where we will match your individual contributions within a window of 4% - 8% under a net pay structure.
Cycle to Work Scheme.
We want to make sure we are providing you with what what you need to excel in your role. For IT we will provide a laptop and any accessories that you might want (e.g. monitor, keyboard etc).
In an effort to stay on top of current trends and developments, we offer £1,000 annual L&D budget for you to use as you see fit.

Company HQ

Soho, London, UK

Leadership

Alex Cooper

(Co-Founder)

Former COO at UNDO, Director of Mass Testing for the Department of Health and Social Care, and Advisor for 10 Downing Street. Was also an Officer in the British Army for 19 years.

Ben Warner

(Co-Founder)

Former Chief advisor on Digital and Data to the Prime Minster with the UK Civil Service. Worked in Data Science at Faculty and was an EPSRC Research Fellow at UCL.

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