Job Summary

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Job Description

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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.

What The Job Involves

You'll work across the full stack - from optimizing LLM inference pipelines to building B2B SaaS products. We value engineers who can take ownership of complex problems and collaborate effectively with world-class data scientists and domain experts.

Your responsibilities:

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 load

Environment:

Small, focused team with direct access to leadership and clients
Office-based culture (4-5 days per week) with frequent cross-team collaboration
Results-driven environment where good engineering enables rapid business impact
Opportunity to work with innovative brands and see the immediate impact of your work

This role suits engineers who thrive on variety and impact. If you prefer narrow specialization or lengthy planning cycles, this might not be the right fit. But if you want to solve challenging problems with immediate business consequences, let's talk.

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

Benefits

Competitive salary and equity package
Opportunity to work on technology that influences major business and policy decisions
Rapid professional growth in a scaling company with exceptional leadership
Direct exposure to diverse industries and high-stakes decision-making
Comprehensive benefits including health insurance, pension and holiday

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Other
Industries
IT Services and IT Consulting

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