Engineering Manager (Avatars) Europe

About the role

Lead the delivery of complex engineering projects in AI-powered video, avatar rendering, and generative media systems. Break down ambiguous, research-heavy initiatives into structured execution plans with predictable timelines. Make informed trade-offs between quality, latency, cost, and scalability, and communicate these clearly to stakeholders.

Challenge and support senior engineers working across backend systems, frontend rendering, and AI integrations to achieve technical excellence. Drive high standards in system design, reliability, and performance.

Understand engineering leveling and scale the team by identifying and filling skill gaps across distributed systems, AI integrations, and media pipelines. Partner with recruiting to build a world-class team capable of pushing the boundaries of generative video technology.

Monitor team performance proactively, addressing issues in delivery, system reliability, or quality. Create growth opportunities for engineers working on cutting‑edge technical problems.

Navigating difficult conversations with clarity and empathy, especially in high‑complexity technical discussions. Align decisions with long‑term product and infrastructure strategy.

Team you would be leading – Avatars & Generative Media

The Avatars & Generative Media team focuses on enabling anyone to create professional, natural video without technical complexity by advancing AI‑powered avatar rendering, video/image generation, and motion graphics.

The team owns:

• Avatar creation, customization, and in‑editor placement
• Integration of generative AI models for video and image generation
• A provider‑agnostic framework for evaluating and integrating new AI models
• Close collaboration with R&D teams to bring new capabilities into production

What we're looking for:

• Proven experience leading engineering teams delivering complex, technically challenging projects (2+ years)
• Strong systems thinking across distributed systems, APIs, and performance‑sensitive applications
• Experience working with or alongside AI/ML systems or media pipelines is a strong plus
• Proven ability to scale teams and develop senior engineers
• Strong track record in improving system reliability, performance, and developer productivity
• Excellent communication skills, especially in deep technical discussions
• Relevant engineering background building enterprise‑grade SaaS products

Compensation Range: £160K - £170K