Software Engineer Equity at Electric Twin

Software Engineer (Mid / Senior / Staff / Principal)

Salary: £80k-£160k + Equity

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.

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.

London, UK

• Work at the frontier of AI and behavioral science with a $14M-funded team backed by world‑class investors like Atomico, Local Globe, 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.

• Design and build the services, data models, and APIs that power sophisticated behavioral simulation workflows using Python, FastAPI, and Type Script.
• 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.

• 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, Type Script, React, GCP), focusing on engineering fundamentals and system design rather than specific framework mastery.