Lead Product Engineer (£100k-£180k + Equity) at Artificial Societies Ltd

Job Title

Lead Product Engineer

Salary

£100k-£180k + Equity

Company Description

Artificial Societies Ltd is a venture-backed startup supported by Y Combinator, Point72 Ventures, and Kindred Capital, building large-scale simulated populations to help Fortune 500 organizations understand real-world audiences in hours instead of months.

Job Description

As Lead Product Engineer at Artificial Societies Ltd, you will own the end-to-end lifecycle of high-impact features, bridging the gap between advanced simulation research and intuitive user experiences. Working directly with the CTO, you will define architectural standards, ship polished interfaces, and build the infrastructure that powers frontier AI for global enterprises.

Location

London, UK

Why this role is remarkable

• Direct technical ownership and architectural influence over a platform used by the world’s largest financial and technology organizations to make high-stakes decisions.
• Backed by elite investors including Y Combinator, Point72, and Kindred Capital, alongside industry pioneers from DeepMind and Sequoia Scout.
• Work at the absolute frontier of AI, turning complex simulation data into high-performance, polished products that deliver value in hours rather than months.

What You Will Do

• Lead the full vertical development of features, from initial scoping and system design to frontend interactions and production deployment.
• Architect robust data models and API contracts in TypeScript and Python to ensure the simulation engine remains fast and reliable at scale.
• Partner closely with the CTO and design team to translate complex simulation capabilities into intuitive, high-performance product features with exceptional craft.

The ideal candidate

• 5+ years of software engineering experience with a track record of owning features end-to-end and making critical architectural decisions in production environments.
• Expert-level proficiency in TypeScript and the modern web stack, with strong skills in Python and advanced PostgreSQL schema design.
• Exceptional product taste and attention to detail, with a mastery of system performance, API latency, and fluent use of AI coding agents.

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