As an Engineering Manager for our AI/LLM team, you will lead a group of talented engineers focused on the development and deployment of large language model (LLM) - based systems for content understanding and moderation. This is a hybrid role combining people leadership and individual technical contribution. You will help shape our technical vision, support infrastructure development, guide product alignment, and play a key part in delivering robust AI solutions to our partners. In addition to managing the team’s performance and growth, you will actively contribute to architecture, experimentation, and implementation - especially where AI systems intersect with production deployment and real-world evaluation. Our mission is to make the internet safer and more enjoyable for everyone. We combine state of the art AI technology and human judgment for best in class content detection, harm mitigation and safety monitoring. We are a VC-backed startup, founded by senior Google, Youtube, TikTok and Reddit executives, working with some of the world’s largest online platforms, and fast-moving startups. If you are looking for an opportunity to apply AI technology to real-world business use cases at a significant scale, and an opportunity to shape the future of how we can safely enjoy user generated online content, we’d love to hear from you. As an Engineering Manager for our AI/LLM team, you will lead a group of talented engineers focused on the development and deployment of large language model (LLM) - based systems for content understanding and moderation. This is a hybrid role combining people leadership and individual technical contribution. You will help shape our technical vision, support infrastructure development, guide product alignment, and play a key part in delivering robust AI solutions to our partners. In addition to managing the team’s performance and growth, you will actively contribute to architecture, experimentation, and implementation - especially where AI systems intersect with production deployment and real-world evaluation. * Manage and mentor a high-performing team of AI Engineers working on LLM-driven content labeling and moderation systems. * Design, build, and evaluate scalable training and inference infrastructure for LLMs and other AI models. * Partner closely with product, engineering, and policy teams to align technical solutions with customer needs and strategic goals. * Contribute to codebases by reviewing critical PRs, building prototypes, and resolving production issues. * Foster a strong engineering culture centered on quality, performance, reliability, and safety. * Engineering management experience, preferably in AI or ML-focused teams. * Demonstrated experience delivering LLM-based solutions to production, ideally in content moderation, NLP, or safety-related domains. * Proficiency in Python; strong background in cloud-based deployment (especially AWS) and CI/CD processes. * Deep familiarity and track record of being hands on with model evaluation, including handling imbalanced datasets and defining success metrics for classification models. * Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry. * Ample opportunity and support for growth, as a technical individual contributor, or manager. * Apply AI technology to real-world business use cases at a significant scale, with blue chip customers * Competitive compensation, comprehensive benefits, and hybrid in-office policy. Pay range is specific to the U.S. – Bay Area; compensation may differ by region. The pay range for this role is: 180,000.00 - 250,000.00 USD per year (Palo Alto)