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Founding CTO (+ Equity) at VC-backed AI security startup

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jack & Jill
Full Time position
Listed on 2026-08-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 190000 GBP Yearly GBP 120000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Job Title

Founding CTO

Salary

Not Disclosed + Equity

Company Description

VC-backed AI security startup

Job Description

Join a well-funded startup as Founding CTO to build advanced ML/AI systems for automated security research and threat detection. You will design agentic risk management platforms that reason about complex adversary behavior in real time. This is a ground-floor opportunity to own the technical roadmap and shape the engineering culture from day zero.

Location

London, UK

Why this role is remarkable
  • True co-founder status with significant equity ownership and the ability to define the core technology and product strategy.
  • Work alongside an experienced founder with deep enterprise deployment history, ensuring the product addresses real-world security challenges.
  • Tackle high-impact problems by building agentic AI systems that move beyond pattern matching to sophisticated, context-aware reasoning.
What You Will Do
  • Lead the design and implementation of the core ML/AI architecture, building high-performance systems capable of real-time threat modeling.
  • Act as the primary technical contributor, writing production-grade code while setting long-term engineering standards and culture.
  • Translate complex security research and adversary behaviors into scalable AI agents that help enterprise teams manage risk more effectively.
The ideal candidate
  • Possesses deep ML/AI research credibility, typically demonstrated via a PhD or significant tenure at top-tier research labs.
  • Demonstrates a strong desire to transition from research to building, with the technical breadth to own an early-stage startup stack.
  • Has a background or strong interest in applying advanced machine learning to cybersecurity challenges like threat detection and risk modeling.
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