Senior Intelligence Engineer, Manager

Responsibilities Provide technical leadership to your teams for design and architectures for building solutions for seamless integration with partners Manage engineering teams delivering on the IAS’s mission concerning ad data quality Lead a team of engineers to design, build, and deploy technical solutions Drive technical innovation aligned with business impact within AI strategy Foster a collaborative environment, partnering with Product and stakeholders to transmute business problems into scalable solutions Own business and organizational strategy for the domain, including problem identification Collaborate across teams for cohesive, powerful results with AI-augmented work streams Partner with Product Managers to define product requirements and translate them into engineering roadmaps Coach the team on technical best practices to push for significant impact Manage tooling and infrastructure investments for the team Oversee hiring, performance, and retention for a high-performing team. Requirements BS, MS, or Ph.D. in Computer Science, Data Science, Machine Learning, or a related STEM field 8+ years of hands‑on experience in software development, with at least 5 years leading and managing high‑performing engineering teams Deep, hands‑on experience building and deploying AI and machine learning systems at scale A "builder first" mentality, with current, hands‑on experience in modern AI‑augmented development workflows Proven ability to partner effectively with Product and business stakeholders to translate business needs into technical solutions Expertise in system design and architecture for scalable, production‑grade AI services Experience working with other teams or technical program managers to coordinate cross‑team projects Excellent communication skills and a track record of delivering complex technical projects on time Experience building and leading teams in a fast‑paced, agile environment. #J-18808-Ljbffr Jobtailor