You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Shared by 
about 2 months ago
Requirements and responsibilities
About the roleLead 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.Team you would be leading – Avatars & Generative MediaThe 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 placementIntegration of generative AI models for video and image generationA provider-agnostic framework for evaluating and integrating new AI modelsClose collaboration with R&D teams to bring new capabilities into productionThis is a highly technical team working across backend services, frontend rendering, and AI infrastructure.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 applicationsExperience working with or alongside AI/ML systems or media pipelines is a strong plusProven ability to scale teams and develop senior engineersStrong track record in improving system reliability, performance, and developer productivityExcellent communication skills, especially in deep technical discussionsRelevant engineering background building enterprise-grade SaaS productsWhy join us?We’re living the golden age of AI. Our culture is centered on building, not talking, planning, or politicising. We strive to hire the smartest, kindest, and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback, and structure our work.Serving 50,000+ customers (and 80% of the Fortune 500). Trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more.Proprietary AI technology: since 2017, we’ve been pioneering advancements in Generative AI, with AI technology built in-house by a team of world-class AI researchers and engineers.AI Safety, Ethics and Security: AI safety, ethics, and security are fundamental to our mission; our position is “People first. Always.”The hiring process:30-40min call with a Technical Recruiter45min call with an Engineering ManagerTake-home assignment (no coding required) - writing an RFC, solution proposal60min task debrief and technical discussion45min call with leadershipThe process does not need to take long - we can be done in seven working days.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)