We use foundational models to create synthetic populations that represent real populations with 92% accuracy. Leading brands use these digital twins to test strategies, understand audiences, and make decisions in days rather than months - without the cost and delays of traditional market research.
Our platform spans 155 countries and 2 million synthetic personas. When a brand needs to understand how their target audience will respond to a new campaign, they get answers in seconds instead of weeks. Million-pound decisions are based on our results.
We’ve seen firsthand how crucial good insights are in high-pressure situations - our team has experience across campaigns, crisis response, and strategic operations where decisions have real consequences. Electric Twin is the tool we wish we’d had. That’s why we built it.

REQUIREMENTS

The engineering challenge is building systems reliable enough to power these high-stakes decisions. You’ll work across data pipelines processing billions of tokens, real-time simulation platforms, and B2B SaaS products that make complex AI feel intuitive.

Essential:

• Strong software engineering fundamentals with experience in modern programming languages
• Proven track record of shipping production software and taking ownership of systems end-to-end
• Experience working collaboratively in cross-functional teams with diverse technical backgrounds
• Strong problem-solving skills with the ability to debug and optimize systems across different domains
• Excellent communication skills and genuine interest in understanding client and business needs
• Comfortable working in dynamic environments where business priorities drive technical decisions
• Willingness to work with our tech stack: Python (server-side), TypeScript/JavaScript (client-side), PostgreSQL, GitHub, and Google Cloud Platform

Desirable:

• Experience with Python, TypeScript/JavaScript, PostgreSQL, or Google Cloud Platform
• Background in building scalable systems, APIs, and data-intensive applications
• Familiarity with AI/ML systems, large language models, or high-throughput data processing
• Experience with GitHub Actions, CI/CD pipelines, monitoring, and observability
• Interest in market research, behavioral science, or business applications of AI

• Build Production Systems: Develop and maintain our Python-based platform that powers synthetic population simulations, working with PostgreSQL databases and deploying on Google Cloud Platform
• Deliver Client Impact: Create TypeScript/JavaScript B2B SaaS products that solve real business problems for major brands, working directly with product and commercial teams
• Ensure System Reliability: Implement monitoring, testing, and GitHub Actions CI/CD pipelines to maintain high availability for systems that influence million-pound business decisions
• Collaborate Across Disciplines: Partner closely with our data science team to translate research innovations into robust, scalable production systems
• Drive Technical Excellence: Contribute to engineering standards and systematic approaches as we scale our platform and grow the team
• Solve Diverse Challenges: Work across different technical domains - from optimizing data processing pipelines to building intuitive B2B SaaS experiences to ensuring system performance under high loa