Engineering Manager, Avatars

Job not on LinkedIn

🕒 March 20

🇬🇧 United Kingdom – Remote

💵 £160k - £170k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

👮‍♀️ Software Engineering Manager

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Synthesia

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

🔥 Funding within the last year

💰 $200M Series E - Synthesia on 2025-10

Artificial Intelligence • SaaS • B2B

<Synthesia> Synthesia is a SaaS AI video platform that enables businesses to create studio-quality videos without cameras, microphones, actors, or studios by using AI avatars and synthetic voiceovers. The platform supports 160+ languages, one-click translation/localization, an AI screen recorder, brand management, collaboration and analytics, and enterprise-grade security (SOC 2 Type II, GDPR). It’s marketed primarily to teams and enterprises for training, sales enablement, marketing, knowledge management and internal communications, helping companies scale video production while reducing time and cost.

📋 Description

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

🎯 Requirements

• 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.

🏖️ Benefits

• Offers Equity