Engineering Manager – AI Platform

Company: La Fosse
Apply for the Engineering Manager – AI Platform
Location: London
Job Description:

Hybrid – London (3 days per week in an amazing office space)

I’m working with one of Europe’s most exciting AI-native technology businesses to hire an Engineering Manager into a highly visible AI Platform team. This is an opportunity to lead the engineering team responsible for the AI capabilities that power products used by millions of people globally.

You’ll lead a team of senior engineers working at the intersection of software engineering, machine learning and product, building the platform that enables AI-powered personalisation, prediction and intelligent user experiences across the business.

The Business

  • High-growth, product-led technology company with AI at the heart of its strategy
  • AI capabilities already deployed at scale, with significant investment in the next generation of AI products
  • Collaborative engineering culture with strong technical leadership and close partnership across Product, Data and Executive Leadership
  • Working alongside leading AI partners including OpenAI, Anthropic and Google

The Role

  • Lead and develop a team of seven experienced engineers, including several Principal Engineers
  • Drive delivery across a business-critical AI Platform that supports teams across the organisation
  • Shape technical direction through architecture and system design rather than day-to-day coding
  • Balance product priorities with engineering excellence, ensuring AI capabilities deliver measurable business outcomes
  • Partner closely with Product and senior leadership to translate strategy into execution
  • Build scalable AI infrastructure that enables new AI-powered products and features
  • Manage strategic relationships with external AI partners and technology providers
  • 80% leadership/strategy, 20% technical through system design

What They’re Looking For

  • Previous experience leading high-performing engineering teams in a product environment
  • Strong technical credibility with experience contributing to architecture and system design
  • Commercial experience delivering AI or machine learning products into production
  • Broad engineering, data science or ML background with the ability to operate across software engineering and AI/ML in production.
  • Excellent stakeholder management skills with experience working closely with Product and Executive teams
  • Comfortable operating in a fast-moving environment where priorities evolve quickly
  • Experience with LLMs is beneficial, but strong engineering fundamentals and AI production experience are more important

This is a fantastic opportunity for an Engineering Manager who enjoys leading senior technical teams, influencing product strategy and building AI platforms that have a direct impact on millions of users.

If this sounds like a good fit, apply with your CV or get in touch for a confidential conversation.

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Posted: July 10th, 2026