
Electric Twin builds science-based synthetic populations and the tools to interact with them, enabling leading companies and governments to make better decisions. Their 'Powers' offer new perspectives on data to uncover audience segments, reveal true attitudes and underlying motivations behind demographics, and allow for real-time testing and iteration with audience feedback. The 'Science' behind Electric Twin consists of carefully crafted simulations of real-world populations, trained on a global cultural corpus and tuned with unique datasets to capture human nuance with precision. They claim 2 million synthetic personas, 92% accuracy compared to real-world survey data, and are 10,000x faster than traditional research methods, with surveys conducted in 10 seconds across 173 countries. Their team has a track record of predicting human behavior in financial markets, elections, and military operations.

Electric Twin builds science-based synthetic populations and the tools to interact with them, enabling leading companies and governments to make better decisions. Their 'Powers' offer new perspectives on data to uncover audience segments, reveal true attitudes and underlying motivations behind demographics, and allow for real-time testing and iteration with audience feedback. The 'Science' behind Electric Twin consists of carefully crafted simulations of real-world populations, trained on a global cultural corpus and tuned with unique datasets to capture human nuance with precision. They claim 2 million synthetic personas, 92% accuracy compared to real-world survey data, and are 10,000x faster than traditional research methods, with surveys conducted in 10 seconds across 173 countries. Their team has a track record of predicting human behavior in financial markets, elections, and military operations.
What they do: Build science-based synthetic populations and tools to simulate audiences for rapid consumer insights
Founded: 2023
HQ: London, United Kingdom
Founders: Alex Cooper; Dr Ben Warner
Notable funding: Pre-Seed (Apr 22, 2024) — investor: Mercuri; later $14M round announced Feb 11, 2026
Consumer insights, market research, audience simulation, rapid testing of messaging and products.
2023
Technology, Information and Internet
14,000,000 USD
Round participants named as Atomico (lead), LocalGlobe, Mercuri, and Marc Andreessen
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Product Marketing Manager
You'll be our first product marketing hire, working directly with founders to turn customer conversations into messaging that actually works . This means talking to enterprise buyers weekly, testing positioning across channels, and writing the copy yourself. No frameworks for frameworks' sake - just rapid learning and execution.
About Us
Electric Twin builds synthetic audiences that let enterprises test ideas and understand customers 10,000x faster than traditional research. We serve CMOs, product leaders, and strategists at leading enterprises who need instant, accurate audience insights. We're venture-backed and scaling fast.
You'll own product marketing from the ground up. This means spending half your time talking to customers and prospects, and the other half turning those insights into messaging, artefacts and lead magnets that land - then testing them in market immediately.
What you'll actually do:
Customer Discovery & Insight Extraction
Messaging & Positioning (That You Execute Yourself)
Rapid Market Testing
Cross-Functional Collaboration
AI Native / Tooling
What We're Looking For
Critical capabilities:
Customer discovery
Translating complexity
Rapid execution
Internal influence
You don't need all of these - just 2-3 strong ones plus intellectual curiosity and willingness to learn the rest.
Stage-relevant experience: You've worked at an early-stage startup (ideally seed to Series A) or in a high-agency role where you owned outcomes, not just tasks. You're comfortable with ambiguity and moving fast.
Enterprise B2B context: You understand how companies buy complex products - multiple stakeholders, long sales cycles, risk committees. Bonus if you've marketed technical or AI products before.
Systems thinker : You do once, then build to scale. You help us build a systematic way to build out the function. Customer conversations get turned into content, webinars inform messaging - you will help build a product marketing flywheel for Electric Twin.
Why You'll Love Working Here
Shape the function from scratch
Mission that matters
Company trajectory
Work with brilliant people
See your work ship fast
Logistics
Next Steps
Send your CV and a brief note (not a formal cover letter) answering: