Senior Engineering Manager

📋 Description Own end-to-end project delivery, stepping in personally to build, operate data, configure the Guide the team on architecture, design, and implementation of scalable, maintainable solutions. Run precise engineering planning: define technical specs, scope tasks clearly, and drive execution Lead and organize a team building custom AI/data solutions for enterprise clients. Allocate work across the team based on skills and performance, and prioritize to meet business Coordinate with cross-functional partners to keep projects aligned. 🎯 Requirements Proven track record of leading teams, especially in startup or fast-moving, project-based Hands-on technical strength — expert-level, current engineering ability (e.g., Python and Data fluency — proficiency with data analysis and data quality practices (statistical analysis 7+ years in software engineering, with at least 2 years leading a team (typically 5-6+ people). Bachelor's or Master's in Computer Science, Engineering, or a related field. Backgrounds in AI AI or fine-tuning / custom-data experience is a plus but not required — diligence, track record 🎁 Benefits Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.