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.